(* Content-type: application/vnd.wolfram.mathematica *)

(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)

(* CreatedBy='Mathematica 11.1' *)

(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[       158,          7]
NotebookDataLength[    617466,      16581]
NotebookOptionsPosition[    587479,      15821]
NotebookOutlinePosition[    587907,      15839]
CellTagsIndexPosition[    587864,      15836]
WindowFrame->Normal*)

(* Beginning of Notebook Content *)
Notebook[{

Cell[CellGroupData[{
Cell["Cone", "Title",ExpressionUUID->"f259bd9a-34b4-4c72-8829-ead4fdd6b53c"],

Cell[CellGroupData[{

Cell["Author", "Subsection",ExpressionUUID->"dec3b9a9-505e-4edf-9899-c9638011f1dc"],

Cell["\<\
Eric W. Weisstein
June 11, 2015\
\>", "Text",ExpressionUUID->"aaf9cdf6-da73-43dc-90a8-5daa9626519a"],

Cell[TextData[{
 "This notebook downloaded from ",
 ButtonBox["http://mathworld.wolfram.com/notebooks/Surfaces/Cone.nb",
  BaseStyle->"Hyperlink",
  ButtonData:>{
    URL["http://mathworld.wolfram.com/notebooks/Surfaces/Cone.nb"], None}],
 "."
}], "Text",ExpressionUUID->"5e6b632d-0c0e-4f63-bde7-2ee615318e57"],

Cell[TextData[{
 "For more information, see Eric's ",
 StyleBox["MathWorld",
  FontSlant->"Italic"],
 " entry ",
 ButtonBox["http://mathworld.wolfram.com/Cone.html",
  BaseStyle->"Hyperlink",
  ButtonData:>{
    URL["http://mathworld.wolfram.com/Cone.html"], None}],
 "."
}], "Text",ExpressionUUID->"bc883f50-ad3e-4414-8032-ddc71e38958c"],

Cell["\<\
\[Copyright]2015 Wolfram Research, Inc. except for portions noted otherwise\
\>", "Text",ExpressionUUID->"2354310b-3812-454e-ad4a-e30e919c5b45"]
}, Open  ]],

Cell[CellGroupData[{

Cell["Initialization", "Subsection",ExpressionUUID->"54d141f2-9114-4e43-a833-d5eeb55d2d21"],

Cell[CellGroupData[{

Cell[BoxData["\[IndentingNewLine]"], "Input",
 InitializationCell->True,
 AspectRatioFixed->
  True,ExpressionUUID->"399d948f-ce2d-44d1-8c97-e362af134d35"],

Cell[BoxData[
 RowBox[{
  StyleBox[
   RowBox[{"General", "::", "compat"}], "MessageName"], ":", 
  " ", "\<\"Combinatorica Graph and Permutations functionality has been \
superseded by preloaded functionality. The package now being loaded may \
conflict with this. Please see the Compatibility Guide for details.\"\>"}]], \
"Message", "MSG",ExpressionUUID->"337dcc65-c23c-4297-8644-6717eb786ddb"],

Cell[BoxData[
 RowBox[{
  StyleBox[
   RowBox[{"SetDelayed", "::", "write"}], "MessageName"], ":", 
  " ", "\<\"Tag \[NoBreak]\\!\\(Ellipsoid\\)\[NoBreak] in \
\[NoBreak]\\!\\(Ellipsoid[\\(\\(a_, b_, c_\\)\\)]\\)\[NoBreak] is Protected. \
\\!\\(\\*ButtonBox[\\\"\[RightSkeleton]\\\", ButtonStyle->\\\"Link\\\", \
ButtonFrame->None, ButtonData:>\\\"paclet:ref/message/General/write\\\", \
ButtonNote -> \\\"SetDelayed::write\\\"]\\)\"\>"}]], "Message", \
"MSG",ExpressionUUID->"4c86dbe9-2b34-4066-9722-f095c77a6927"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Inequalities", "Subsection",ExpressionUUID->"6a5ef9eb-b718-4ab7-a5b0-16738e99c6fd"],

Cell[BoxData[
 RowBox[{
  RowBox[{"ineq", "=", 
   RowBox[{
    RowBox[{
     RowBox[{"(", 
      RowBox[{
       RowBox[{"x", "^", "2"}], "+", 
       RowBox[{"y", "^", "2"}]}], ")"}], "\[LessEqual]", 
     RowBox[{
      RowBox[{
       RowBox[{"a", "^", "2"}], "/", 
       RowBox[{"h", "^", "2"}]}], " ", 
      RowBox[{
       RowBox[{"(", 
        RowBox[{"h", "-", "z"}], ")"}], "^", "2"}]}]}], "&&", 
    RowBox[{"0", "\[LessEqual]", "z", "\[LessEqual]", "h"}]}]}], 
  ";"}]], "Input",ExpressionUUID->"ba1704f3-d34b-4742-86aa-5e37145296f1"],

Cell[BoxData[
 RowBox[{
  RowBox[{"reg", "=", 
   RowBox[{"Cone", "[", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{
       RowBox[{"{", 
        RowBox[{"0", ",", "0", ",", "0"}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"0", ",", "0", ",", "h"}], "}"}]}], "}"}], ",", "a"}], 
    "]"}]}], ";"}]], "Input",ExpressionUUID->"e12caf26-61ac-4b9c-b992-\
7229af56f8a7"],

Cell[BoxData[
 RowBox[{
  RowBox[{"assum", "=", 
   RowBox[{
    RowBox[{"a", ">", "0"}], "&&", 
    RowBox[{"h", ">", "0"}]}]}], ";"}]], "Input",ExpressionUUID->"345d58ae-\
f89f-4f68-b973-f4ba4873600d"],

Cell[BoxData[
 RowBox[{
  RowBox[{"vol", "=", 
   RowBox[{
    FractionBox["1", "3"], "\[Pi]", " ", 
    SuperscriptBox["a", "2"], "h"}]}], ";"}]], "Input",ExpressionUUID->\
"4c847caf-a2e5-42fa-b05e-186b648b94fc"],

Cell[BoxData[
 RowBox[{
  RowBox[{"ent", "=", "\"\<SolidCone\>\""}], ";"}]], "Input",ExpressionUUID->\
"8d39e6c6-9a8d-48ed-91d1-218ee0c47ffd"]
}, Open  ]],

Cell[CellGroupData[{

Cell["Regions", "Section",ExpressionUUID->"6943dfcf-2c5d-4480-b544-e85dec602dfb"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"SolidData", "[", 
   RowBox[{"ent", ",", "\"\<ImplicitRegion\>\""}], "]"}], "[", 
  RowBox[{"a", ",", "h"}], "]"}]], "Input",ExpressionUUID->"b2d220bd-c5c2-\
47a0-8f3f-1d782f42ca34"],

Cell[BoxData[
 RowBox[{"ImplicitRegion", "[", 
  RowBox[{
   RowBox[{
    RowBox[{
     RowBox[{
      SuperscriptBox["\[FormalX]", "2"], "+", 
      SuperscriptBox["\[FormalY]", "2"]}], "\[LessEqual]", 
     FractionBox[
      RowBox[{
       SuperscriptBox["a", "2"], " ", 
       SuperscriptBox[
        RowBox[{"(", 
         RowBox[{"h", "-", "\[FormalZ]"}], ")"}], "2"]}], 
      SuperscriptBox["h", "2"]]}], "&&", 
    RowBox[{"0", "\[LessEqual]", "\[FormalZ]", "\[LessEqual]", "h"}]}], ",", 
   RowBox[{"{", 
    RowBox[{"\[FormalX]", ",", "\[FormalY]", ",", "\[FormalZ]"}], "}"}]}], 
  "]"}]], "Output",ExpressionUUID->"24580e63-ad0f-46c7-901d-7f5ac226a9e2"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"SolidData", "[", 
   RowBox[{"ent", ",", "\"\<ParametricRegion\>\""}], "]"}], "[", 
  RowBox[{"a", ",", "h"}], "]"}]], "Input",ExpressionUUID->"188ae0b0-6064-\
4376-9587-cdc0244cb935"],

Cell[BoxData[
 RowBox[{"ParametricRegion", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{
       FractionBox[
        RowBox[{"a", " ", 
         RowBox[{"Cos", "[", "\[FormalV]", "]"}], " ", 
         RowBox[{"(", 
          RowBox[{"h", "-", "\[FormalU]"}], ")"}], " ", "\[FormalR]"}], "h"], 
       ",", 
       FractionBox[
        RowBox[{"a", " ", 
         RowBox[{"(", 
          RowBox[{"h", "-", "\[FormalU]"}], ")"}], " ", "\[FormalR]", " ", 
         RowBox[{"Sin", "[", "\[FormalV]", "]"}]}], "h"], ",", "\[FormalU]"}],
       "}"}], ",", 
     RowBox[{
      RowBox[{"0", "\[LessEqual]", "\[FormalU]", "\[LessEqual]", "h"}], "&&", 
      
      RowBox[{"0", "\[LessEqual]", "\[FormalV]", "\[LessEqual]", 
       RowBox[{"2", " ", "\[Pi]"}]}], "&&", 
      RowBox[{"0", "\[LessEqual]", "\[FormalR]", "\[LessEqual]", "1"}]}]}], 
    "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"\[FormalU]", ",", "\[FormalV]", ",", "\[FormalR]"}], "}"}]}], 
  "]"}]], "Output",ExpressionUUID->"8108d055-b99a-43f9-a12b-e865e46fb360"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"SolidData", "[", 
   RowBox[{"ent", ",", "\"\<Region\>\""}], "]"}], "[", 
  RowBox[{"a", ",", "h"}], "]"}]], "Input",ExpressionUUID->"fb3ad633-e2a4-\
4540-befe-a3951de394db"],

Cell[BoxData[
 RowBox[{"Cone", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{"0", ",", "0", ",", "0"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"0", ",", "0", ",", "h"}], "}"}]}], "}"}], ",", "a"}], 
  "]"}]], "Output",ExpressionUUID->"dc94649a-46d3-4351-8cac-8ba316a7b3de"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Plot", "Section",ExpressionUUID->"26e2f0e3-8418-47d5-bea1-650f54841cc9"],

Cell[CellGroupData[{

Cell["DiscretizeRegion", "Subsection",ExpressionUUID->"c6d1ac0e-0e4b-4988-b805-f9a72fe3ddb5"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Block", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"a", "=", "1"}], ",", 
     RowBox[{"h", "=", "2"}]}], "}"}], ",", 
   RowBox[{"Show", "[", 
    RowBox[{
     RowBox[{"DiscretizeRegion", "[", "reg", "]"}], ",", 
     RowBox[{"ImageSize", "\[Rule]", "Small"}]}], "]"}]}], "]"}]], "Input",Exp\
ressionUUID->"6c662a0b-8cfd-409f-aa56-989148b98cb2"],

Cell[BoxData[
 Graphics3DBox[GraphicsComplex3DBox[CompressedData["
1:eJx9enk4lG/0vkQlWiwVEUqlZGkvUkdFkRZtkjaVIhWSFJU1RQktRJaEkF1k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   "], 
   {Hue[0.6, 0.3, 0.85], EdgeForm[Hue[0.6, 0.3, 0.75]], 
    TetrahedronBox[CompressedData["
1:eJxdnXngb9W4//dephQKFQ3ohAZNhooipYEmDSKJhtOsUhoVKkqDBs3J0XCa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     "]]}],
  Boxed->False,
  ImageSize->Small,
  Lighting->{{"Ambient", 
     GrayLevel[0.45]}, {"Directional", 
     GrayLevel[0.3], 
     ImageScaled[{2, 0, 2}]}, {"Directional", 
     GrayLevel[0.33], 
     ImageScaled[{2, 2, 2}]}, {"Directional", 
     GrayLevel[0.3], 
     ImageScaled[{0, 2, 2}]}},
  Method->{"ShrinkWrap" -> True}]], "Output",ExpressionUUID->"5f17d6d4-c4a0-\
4384-a17d-3de90b99bf82"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Entity Image", "Subsection",ExpressionUUID->"68eefd57-e5db-4ebf-9be5-002bc71a4c05"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Show", "[", 
  RowBox[{
   RowBox[{"SolidData", "[", 
    RowBox[{"ent", ",", "\"\<Image\>\""}], "]"}], ",", 
   RowBox[{"ImageSize", "\[Rule]", "Small"}], ",", 
   RowBox[{"Method", "\[Rule]", 
    RowBox[{"{", 
     RowBox[{"\"\<ShrinkWrap\>\"", "\[Rule]", "True"}], "}"}]}]}], 
  "]"}]], "Input",ExpressionUUID->"f1ea9dd1-44ea-42ad-ac1d-fc13cf5d1bfc"],

Cell[BoxData[
 Graphics3DBox[
  {RGBColor[1., 0.8855725947966735, 0.24356450751506828`], Opacity[0.6], 
   Specularity[
    RGBColor[0.5365072098878462, 0.5365072098878462, 0.5365072098878462], 20],
    ConeBox[{{0, 0, 0}, {0, 0, 2}}, 1]},
  Axes->None,
  Boxed->False,
  ImageSize->Small,
  Lighting->{
    RGBColor[0.3233539330128939, 0.2068055237659266, 0.11020065613794156`], {
     RGBColor[0.9237659266041047, 0.21170366979476615`, 0.], 
     ImageScaled[{2, 0., 2}]}, {
     RGBColor[0.05, 0.9, 0.05], 
     ImageScaled[{2, 2, 2}]}, {
     RGBColor[0.3797817959868772, 0.06872663462272069, 0.9204699778744182], 
     ImageScaled[{0., 2, 2}]}, {
     RGBColor[0.516365300984207, 0.516365300984207, 0.516365300984207], 
     ImageScaled[{-2., -2., -2.}]}},
  Method->{"ShrinkWrap" -> True},
  PlotLabel->None,
  ViewPoint->{1.3, -2.4, 2.},
  ViewVertical->{0., 0., 2.}]], "Output",ExpressionUUID->"9dfbdf89-ebdb-4772-\
8395-26138a286cd8"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Entity ImplicitRegion", "Subsection",ExpressionUUID->"18b1706a-70f8-4e77-a190-585a7d3b1764"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Show", "[", 
  RowBox[{
   RowBox[{"DiscretizeRegion", "@", 
    RowBox[{
     RowBox[{"SolidData", "[", 
      RowBox[{"ent", ",", "\"\<ImplicitRegion\>\""}], "]"}], "[", 
     RowBox[{"1", ",", "1"}], "]"}]}], ",", 
   RowBox[{"ImageSize", "\[Rule]", "Small"}], ",", 
   RowBox[{"Method", "\[Rule]", 
    RowBox[{"{", 
     RowBox[{"\"\<ShrinkWrap\>\"", "\[Rule]", "True"}], "}"}]}]}], 
  "]"}]], "Input",ExpressionUUID->"b3c8b010-ae89-4069-8f01-3c8d18843754"],

Cell[BoxData[
 Graphics3DBox[GraphicsComplex3DBox[CompressedData["
1:eJyMvXVcVlvTP4zYLSZiYSt2t+NRbMVWFBXswC5MxBYLbFQsDGwxQBB1aJAG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   "], 
   {Hue[0.6, 0.3, 0.85], EdgeForm[Hue[0.6, 0.3, 0.75]], 
    TetrahedronBox[CompressedData["
1:eJxcnWXYHFXWtau72nAnwODu7ho8hGDBnSSQICFocBk8uLtbcE0IOoOT4O7u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     "]]}],
  AlignmentPoint->Center,
  AspectRatio->Automatic,
  Axes->False,
  AxesEdge->Automatic,
  AxesLabel->None,
  AxesOrigin->Automatic,
  AxesStyle->{},
  Background->None,
  BaseStyle->{},
  BaselinePosition->Automatic,
  BoxRatios->Automatic,
  BoxStyle->{},
  Boxed->False,
  ControllerLinking->Automatic,
  ControllerMethod->Automatic,
  ControllerPath->Automatic,
  DisplayFunction->Identity,
  Epilog->{},
  FaceGrids->None,
  FaceGridsStyle->{},
  ImageMargins->0.,
  ImagePadding->All,
  ImageSize->Small,
  LabelStyle->{},
  Lighting->Automatic,
  Method->{"ShrinkWrap" -> True},
  PlotLabel->None,
  PlotRange->All,
  PlotRangePadding->Automatic,
  PlotRegion->Automatic,
  Prolog->{},
  RotationAction->Fit,
  SphericalRegion->False,
  Ticks->Automatic,
  TicksStyle->{},
  TouchscreenAutoZoom->Automatic,
  ViewAngle->Automatic,
  ViewCenter->Automatic,
  ViewMatrix->Automatic,
  ViewPoint->{1.3, -2.4, 2.},
  ViewRange->All,
  ViewVector->Automatic,
  ViewVertical->{0, 0, 1}]], "Output",ExpressionUUID->"094db0d0-8699-4244-\
ad26-7e93d444e667"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Entity ParametricRegion", "Subsection",ExpressionUUID->"95eca837-bddc-4686-9e2e-df343751256a"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"DiscretizeRegion", "@", 
  RowBox[{
   RowBox[{"SolidData", "[", 
    RowBox[{"ent", ",", "\"\<ParametricRegion\>\""}], "]"}], "[", 
   RowBox[{"1", ",", "1"}], "]"}]}]], "Input",ExpressionUUID->"8fa2faa2-8605-\
482e-bbcc-376a7a7e926f"],

Cell[BoxData[
 RowBox[{
  StyleBox[
   RowBox[{"DiscretizeRegion", "::", "drf"}], "MessageName"], ":", 
  " ", "\<\"\[NoBreak]\\!\\(\\*RowBox[{\\\"DiscretizeRegion\\\"}]\\)\[NoBreak]\
 was unable to discretize the region \
\[NoBreak]\\!\\(\\*RowBox[{\\\"ParametricRegion\\\", \\\"[\\\", RowBox[{\\\"\
\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]\\)\
\[NoBreak]. \\!\\(\\*ButtonBox[\\\"\[RightSkeleton]\\\", \
ButtonStyle->\\\"Link\\\", ButtonFrame->None, \
ButtonData:>\\\"paclet:ref/DiscretizeRegion\\\", ButtonNote -> \
\\\"DiscretizeRegion::drf\\\"]\\)\"\>"}]], "Message", \
"MSG",ExpressionUUID->"761a7731-0e09-460f-a303-80eb013cdcd9"],

Cell[BoxData[
 RowBox[{"DiscretizeRegion", "[", 
  RowBox[{"ParametricRegion", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{
      RowBox[{"{", 
       RowBox[{
        RowBox[{
         RowBox[{"Cos", "[", "\[FormalV]", "]"}], " ", 
         RowBox[{"(", 
          RowBox[{"1", "-", "\[FormalU]"}], ")"}], " ", "\[FormalR]"}], ",", 
        RowBox[{
         RowBox[{"(", 
          RowBox[{"1", "-", "\[FormalU]"}], ")"}], " ", "\[FormalR]", " ", 
         RowBox[{"Sin", "[", "\[FormalV]", "]"}]}], ",", "\[FormalU]"}], 
       "}"}], ",", 
      RowBox[{
       RowBox[{"0", "\[LessEqual]", "\[FormalU]", "\[LessEqual]", "1"}], "&&", 
       RowBox[{"0", "\[LessEqual]", "\[FormalV]", "\[LessEqual]", 
        RowBox[{"2", " ", "\[Pi]"}]}], "&&", 
       RowBox[{"0", "\[LessEqual]", "\[FormalR]", "\[LessEqual]", "1"}]}]}], 
     "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"\[FormalU]", ",", "\[FormalV]", ",", "\[FormalR]"}], "}"}]}], 
   "]"}], "]"}]], "Output",ExpressionUUID->"56429242-34e9-4ab0-bdcb-\
a2d851a1026c"]
}, Open  ]],

Cell[TextData[{
 "bug(",
 ButtonBox["296037",
  BaseStyle->"Hyperlink",
  ButtonData->{
    URL["https://bugs.wolfram.com/show?number=296037"], None},
  ButtonNote->"https://bugs.wolfram.com/show?number=296037"],
 ")"
}], "Text",ExpressionUUID->"9aeacd78-8056-453c-99d9-4d6c4b9a71bb"]
}, Open  ]],

Cell[CellGroupData[{

Cell["Entity Region", "Subsection",ExpressionUUID->"c470f0a2-5699-4565-8dcc-b811b6f9bbe1"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Show", "[", 
  RowBox[{
   RowBox[{"DiscretizeRegion", "@", 
    RowBox[{
     RowBox[{"SolidData", "[", 
      RowBox[{"ent", ",", "\"\<Region\>\""}], "]"}], "[", 
     RowBox[{"1", ",", "1"}], "]"}]}], ",", 
   RowBox[{"ImageSize", "\[Rule]", "Small"}], ",", 
   RowBox[{"Method", "\[Rule]", 
    RowBox[{"{", 
     RowBox[{"\"\<ShrinkWrap\>\"", "\[Rule]", "True"}], "}"}]}]}], 
  "]"}]], "Input",ExpressionUUID->"b62697f7-7f4a-4cd6-8c39-3a4f59195ddb"],

Cell[BoxData[
 Graphics3DBox[GraphicsComplex3DBox[CompressedData["
1:eJyEvHk8lG/0Ny5FkmQtWwtKpSztFI5IUdokWxGphELKUklCm2TLEpVEliT7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   "], 
   {Hue[0.6, 0.3, 0.85], EdgeForm[Hue[0.6, 0.3, 0.75]], 
    TetrahedronBox[CompressedData["
1:eJxs3QnYRtW4PvD97s1B5shUaDQX55hLpsyZIzI2nByEylCGIxUqhCg6qY6I
UCIhQjTIMWSeZQyJShGR8b9/33pua3P9r+t7r/2td+93D2uv9Qz3cz/P2mjn
3R/9nHEYht+sOwxXmrfPnhvnz5+HrIbhNtMwbD9/d8X8/+Hz5xvz95vO7XvN
/99x3r5r3v503n59/nxy/lxjbn9uPubT8+/+Nm8vm7fXnr/7zvzZaP5cMn9+
Mh/3vfnjmhfV7xzzqXm737w9bv58bd659fz56Pz73efvN5r/v9+8fczcvtq8
/9/n//9t3l5p/v468//XnT+vmD9HzJ8N5s8b5s/68+fY+fOt+fOJ+fPt+XPN
+Td3mLf3nbe3nrdHz9tHzdsvz9t3z59Pzue/ynzOA+fP/87tc+ftd+b9H5w/
350/m87fbeCZ5885c/vvnmvenjBvN563t56Pf+68vf/8eeD8+dD8/QXz9heL
59XHr5s/86WGY4Z2vrfMn6us2vmuPH/G+XO655q3f5q3n5s/f/VMc/u8efvj
+XNG3c8L5+0B8+f68+d/Fv1ym3n71Hn70Pnz4vnz9bn9kvmiu83HfNhzz59T
Vq1/9e1+8+dj1S+3qX5ynht5vvnz7qEdP/8N/z1/bj5//nfo4+BO8/bG3tv8
/7bz/w8d2rv8z/m7p8zXvdL8OXz+nF/9oE+uPu9/4PzdR6Z2rPd94Xz8O+ft
evP2uKn1g+f9UD3vSUPrqw9U360zb/eaP1ebP6+ZP++bf3fS/Nlw/mw3tfHh
nVx7/rxy/nxz/s0j5n3f1rfGz7x98Pz57bzvjfP2tfPnifP3F63aXBjr+ufV
fV9Y49S9vKmuf/X58+r5c1jdk33Xqv2/HNoYyPv3Dm/pHvX/2Pr/HfNnj/mz
96qff9/5c9j8eViNt6vW+Hjf/LmZ805tfr5qPv7I+fOC+bP7qm19d9X6/id1
3fOqv78wtJs5b/7/dvP27vN2u/mru87bY+v5L6k5e/mqjcHfzZ8D58+O8/E/
n7fvmrc39W6nNoemsY0b4+UzdZ2zzYdVkyObzd//uvrzZ/P3P1j0xyvmf46f
z7PJ/Hnv1O7rwvlzgD4Y2/z9Rs1h8/cu8/Ym8/Zn877/mbcnzu2PmMNDkz/m
1Lvmz1vnz2fMgflzt/nY686fL4zt+9fVPHTs54cm77zzx03tvn4+tPt0fxfP
n43nc/y6xscVQ5vz5vtDV23erTe0eWj+mSDk2d/nf18/b0+et1+ZP+cObUz8
vM7702q/Zv68fr7uL43Hqc1X89R8/c28vf183D3m/7ect+80R8zT+XNp3Zd+
/vT8ubzG1lVLRkWeXLfe3ZXr/W1JDszbzebt/4y9Xz9e7+uHdX8/qv4kZ4zV
M72zsY0//bTp/P8Tpja+zxqajPLeZzUyXG/+PH/+HD403eB8P6zzvX/Vznfd
mgfph09Wv5vvZ9ScM4/uPH/ePn/uOH82r/djPHyrzvvGocmnG8+fZ7v+fMBh
8+cv8/93ndq5zSXXNq/WXbW5bVxePH++WOf5avUD2btaPPetVk0+e6d/mz97
1ly95vx5+dBkIZn4kqHJQ/fxnrov9/ON6pfzq3+jJ0+pee4dHrJqcug3dZ/u
2T3tW/P/g6umb/YZ23ux72t1Hv1Bn/6qvjc2Th3aeHXuH9T3P6t+Nv/JHXP/
42ObO/+3ON936rgPVv8bd/TtOnUvH6njzDsy4tixyfWnzp+fTm3+/35o48kz
vankyO/nz0vHpmPeP2/vODZ9Hj2iH59Qz32tug/X9/0hQzvO/pd5P2M7J/nw
b/PnmPk8vyWzp9aXjxzbvT1rbHrpslXTU/TTB1btufXBlacmGz4/f840Fubt
G1Ztnt+k3scm3ue8vc/8ue/U7ufJ8+dl8+cTq2YXfGgxXnenU+bjNjTG5+3e
JRvWK/lAZrATyI9T5+2+8/Ztdb4nr9pW+znVJte84y/Ve7z7/Lmdz7zvK2Ob
b4fXfNuh5IF+/0yNt8/W+/KON6r5d6uyD8gD+0+peeq42Bl/q/G/bo1R8kbf
3HBotsMN5u0nV208fq3G0DXqfi+q+zWf3lf9EPl6k/n7441lc7ju7+sL+TDU
nJtq3r3X9eff/se86zbzdre5fa95+8yh2aMZd97RpfP2tfN3l86fJ82fa03N
NqAL2QdHVt8YI/rmKGNl/u56Y9N9d5vas/xo6PrpNzWPrlPjInYEm2LPVbez
zNE9x/YsP138/qe1Tf+eWnM09ugnq///Xu/H5/Ulby6p+zN+9q77NB5PXrVx
ZPz8X933I+bvT5u3f5zbe7Hb5u2nxyZ3vrG4n+vX+cjoAxZygwwhp55V85E8
e0bJqT/Pn7/U/T2vfp9+27DG/K9Wbdy/YN6+m30wf34wf7apubNxzaPXlvxd
t+Tv1vP395g/t5//P2b+bDA2meLYrWu8rF/jxbihB+iExwxNLzyi7sP96Icr
z9vXDk2/swNutehP4+kBQ7PN7z///wH3P/9mm/nz9vn/p03NltlvbHbNjjV/
31nz90mr9v+Oq/b9i+btp+bPbvyk+fPFqc3nQ+fPTWv+PnD+bDi08Wsc7z9v
3zQ0u+/sVX8Pz6t5/NZV8z/4IfwPtt415vO+cv5/o3n7hHo3O8yfz877nkZ2
zZ+X0wXz/hNX3V967Ny+y6r5bnebP3+aP0fwbebPp82jef+L5uOuMnS7cdtV
08vkBPlI1pFzrnvvkqdk6VarZvcftGq228/m7Q41346s+fa8+bun1O+dZ6sa
F++ZPw+Z24+Yj3/D/P8F82edsel375n+vEnJB/bJxxfzMHb+XnV++pgevtb8
efP8eVr1o/78rxqv1xu6n0SHuB9y/E5j9/f0+/vm6283Nrvh0Hl7z3n7+Hl7
Gb077381e3ve3oFdNn/+fWrz+Zp1n2RK5rH5Ytzd1sfYHJpPydfkZ/I72XeZ
B9FXfFky/cD5c9D8ueH8/S/n7x87f24wtffkfV213hd9cbOh68m9a5wePG/P
WDX99sXSb8+ef/8wx4/NB37vvL3a/N3Vp2ZfHFnyjwyPnv/i/Pm+8TR/bjk1
uUP+0BFsiH+veWteeocZxwdU/7NZrlf+3I1Kf7rfm9f9uv9967u3Dc1/v+nQ
55H5c0LNIfPnnqvWd/deNZ/dszx0Pu/x8/bRUxuXZAK/Zt2ab2yOx66azbEJ
ue9e5s+9p3bfnmGroT3HQ8bWL/pp76nJR7KRjUs+mjcvm9rc+d7UrkN38J/Y
nK7vO/PkUNv58/z5uG/P5/za1O0Xfs6Hq7+M2ehvOAb9wm+FZ7x0aPIPpgHP
uHbJM3KNPcrP5fM+ZdX83j1rHuw6f55DVs7fnT02OfX0Gm/smgNqvL1w3n51
/uxkbo1tHjlH7NsN6j3k+uSusUT2spv2qOPJ1DuMbV7coea1+fG/Jc9eWfLs
xTV+yZ23zJ9nD02ue849Vk1vnTY2PUZ/0Uf00EtK3kXv6qMvlQw6Zj7uJmOz
z/j0f54/O4/tPsiJ/yr5Rl7YPnxoY+jBY7Mz2By3GFqf3rTGofFHfvPrT101
mfMfY/Mfjxm6fjFmyGU+7q2n9mye8d/q+f6r7Ex2506wjrn90bGN6SfP7c+v
2rsP5kUvwBOuMTQ9sfnQ5PYWQ/Pbrj//5hVT89/eMbX+2LXegX55XXucNXzp
9fUed6/zwRnM3duODfP4xNiu8Y46Zu/qX7jVrtW/GQd71HGvrvvbb2h4B3+H
rxOc6BEl454/fx40NrvvufPnJ6tmH+T9wGH4/VvM/z9wbNc7Y2z4FXsazndg
6bKTaozTZ/+56v7DH0o/kSnGB7luvtOrnucxJS+PrDEAHyEf2eH0OV0eefW0
mn//QYeSC+b+1PrVnHhuzatr1//RN8bxq2p8GU/xiz84b781Nazt2mOzmb9c
enr9qenq709tfFypxsfP5+2L6ab5c/TQcLvoeTr8m/pnPuZT8+fp+nFq/ab/
vKtdyl7xbOT/k0qePLfkiTlzecnjJ8/bt5e9eNWp2Ywvn5o8fs5i/H+s5Ob+
1Z83qHPHHnK/X697dr/PGbo/8/Qa23QZnUafGcdskdvXeL5K9V/kge3TVu1/
Y+jV5Lx5NX/+OjX8hx/CP4P/GF/8C+PrcbWfv3fnocljsutrq/Y8r5qPvcvY
7LVvzJ9HTm08kxFwPHM8ftKaL7xqOPbZrj02PNt4YXPTbexO8upRbIGyHzNP
zJm9Vm0uvn7o+MAtxob3wH3gPXvP7TdX+7fz9nFDk63krPFys3oXkUsvqfn9
ujrvsaV3ou++P29/VfbCh+fz7UxXzNtbztsLp6436BB2+0E17r2nyKKD6n3t
UOOQnGNTe8d0JVudzU727VHPuUvJD/IUlu8m2dv0xgZD1+fmJZkTeZTx7Xnu
VfLvmgt58zvPOu//w9DsJHbcc1dtDr+otuZx7PGn1/4XVvuI+XPwfN6rj803
JLeuvrgP7f3ru9jl+9f32uwY18h1ycw/jE2GvrbGgz5jY5Ij75iPedvYsLX7
sRHm9l3Knvz41PUCHXHc0Pylr6yafGJ7mCvmLDvwiNoeVHPoiOqTvVYdL06c
QczhY6Xf6XZBHX4W+2/LqeGfz5qaPU5m/of7XDW88az587j5/x+Oza40HyI3
My9fVfPRffOx/q3u/yM1X8wb84XfwA/enG6dml3FLmRnvWbsOGne1y1WDa/T
P/ppx/n7Lcdmi5iv7Dz6OvYqeUfuRt/x2/hw64/Nj+P3PHjo8QxyFdZz69K7
8AjymV91Qs1//U7Hv2fs78Uzk0PmX+xU8489z2dIfMhY+CP7q8bDzVftOq5L
rh+5anr6+fN3X596XIq9c3zNq+NqPJhff1012Wye/n5s9h6ccKOSR/Qt34jO
5SeRc+TdoSUHYAv8JDgxHIy/5fmMsxfP13/m/P9hjIOp4XanswWmhunD819c
93Tlui/3TWfceP79/lO75o/Hdv3/ntq4PWfVdOt9x/ZbNlLsI/19funFx5V8
ZCfyw+nzLRb24snl/72xntG1vN8Xzd9/Z96eObX+IbcOXjW579gnzp/HDy2m
o1+dY/2h25XPHjp+8PLF+GEfi2vdaOg4sngb3wYOZtx433zD29V7//DQsPDg
Y+PQsJxvDg1H8f/Hqs0vPG1o749MhIFuPLSxCN+A38C3Tpy3m8yfh00trgWz
FecKXssfX7/GMX8E5j4OHbe+aHG9xC1+Xr//drW/Vft9Jz7w3qHhleJu4m/s
T/E35xWbS5zujKFh8nBxmH1wIJgQHfK1upfgfh+re8r9bDO2d3efuf2Cqe37
4uL+T677TDzv09X/iR/xS/igfAM+qN9+afH7fVbtvXuPd54aHmvfd2q/cW2M
b1DjXP+cVn3suuIi8FDPBg8Vp/nK4vx0zmXz9v1D00XB1968avbSN+t5c3xw
2i/W8/vd+4Z2DrJZnIyNK74KO3z00OYcOcuO2mRoMSbjhK9Nft51aJgXOcoH
dd6Lqn/EGMzHt9d8FMeEl8Dgr1Pv56Khx8fgrX8c2vvzHsW32FNkBnzT+xA7
ShyJrc4mhu+w1+Gq8FV4CHz1BfP/65U/wt74Sl0v8S5xluB9154aTq6vvlvH
8ZvZcew28uvvY8Ndtit9uePQ9IH5B58RjxCLYD+KR1xn3nf3qdk+9BwZefGq
8w3Id3Yd+47/dtf586SS08+YWr/pv4eNrf/EzGAW8JCbz+0HrZpOgUPA1vRd
7BExTTYCPRw8T1yCv8PGEu+IHI399Nt6L94PX8zze7+eXz+IR4p/BieFd7OP
2Hr3HBs2SSbCJ+Ee7ocO/kO9z/Rr4ieZtxnnsdvgrvQxv4SP8uhVi+97NvMa
rgvTZVfCU+Cr+jj35R7hB+uVrSM2KW6/67y96bx9ERlX4+E7y/m+avEX9hNb
6oD58/75uB+smn0qjkgGRw6YC5cv2ubVR2tOmQfk8G2Ghq9uW3LW/I78y3h4
bd0vvIQ/CS/5bOkreoqdK17sWXAQrj+25xGDO6TmHH162ry94dhstNuPba6Y
M5Ff5Mr3F897k6n5L3CYv5ZfCM8Vt2KHiE9fa/7/g/P/54zNTmWv3mH+/pXz
dx+rfoq9ab6ZZ/r21/Nnp6HZ1uyTs1btuucNPe5PV9FZwfffsZCH95j+WW95
xvBE+PDwyfeV7Is8O7vegzFM/ry3+vnken6y8GP1jhwfHCx2ytFj4avz/+dN
zZ+Iffjqscupi+r3YjFsy8SHXjF/DpwaLnvQ1OYlXNDchOc/c97eZ95+btV0
2q3m3z1g1cYIPfvRepbEe88amq7/XD3XRdVP36j9nhNWFz4C3ATmlHjiRkMb
o8YseU1fG9+3q/dmTtL/8SfNX/gWvFJ84eFj46PAQ2AjP62xm/EDVz518X4O
qPlHTjynnk/MwvOZ33AlGFPsXb7+/y78/VeumgzXf48vuw8/h0zk55JF3ge9
s9/U7P7wSuAbP6z3kbjia0vmXVhyb5f584D5d++ct7+bWqwS/h37KTj4bUt+
Gk9sjfCBbl3zDQ9GfG7r6ut7Vb9n3se+Pbt+Rz7cus53QckL33+r+i796b1+
fOi8h81Lpq7FQ8v+8YzhLUQv0pFwU/31oKnxYPRXcCc4JTm9fj2Dax9V8/FH
Q+dVwBFgCnCNv01NVpy7uD9zlUw7q8ajec/H+FjNf3w8WBC/WfzzOqtuL5Gt
4onxF6696n5c4iUX1/wMP4BucPE1W3Zs/fOZofNBPJu4zePn7e2mzqdJPGH9
+v1R9fvf13hwbfoPRvWX+XPP+TBOwapkNrnkmsbFU4em59nZZNcZJb/W4pHz
53vzeV4+fy6YWl+RtbEb+bFkJl8Wxk4+PK7skx3GhmHBf+BSryq9LuZBP9Pv
uE9wbDiKOEn8TjYH3IQ8p09ij/+y3tOvhh4vpZfXdPTY4wuJY9IPfnulVZOP
4a1Evty0ZHnk+pl1Xn2wac2Dw1Y9Xg3rTHxWLCt6ms6+zsI+46/x255e749u
eN3Y8Cr2KzuWHDKX2Q/siDVZNTRcFx7y0VUbK8ZM+EYXlKzM/HIf7ulZNQ9+
UO/n+9Vf36/njb39f2PD38Qjvlj63jl/Wef7VY39tNdd6At23rmrNhcyLxLH
hYNcXv33vcX4uaCun/N5H+zG8Om+UfvPr/1sczY6e+k29SEfppLXF5Xc+2k9
z5k1Xo3rk0o+XTJ0e5/95N63qmc5r65zUb1XvjO/mR/NP/9wPX/09S/q/i6o
tnj8J4fOJ9hlaBg5XBxG/vOx4ShwFfL7e/X79McV9e7i5/6k7j/jznXIksjj
86v9mcV9G7euzTbaeW4/ZGoY8bZTkwvkAzlxp7JP6YrgqnDat8zfrzN/jl7Y
RZGHwTHYCjh+7Ec2xgervx8zf/fGqem+c6cu19j4cLT4VeHBiuOtYTxDw0F+
O3//1nm7R8lUcj3+x5/rHfK32ZL87fAf4VrideSvmDr5Sw4nnhI+Bjv52FXH
Y0+u+/9K3X/0pDjgj6ceDz9+1frxM9Xf8Q9OGbrfpv8y72KvXKXkCvkCb8XP
gWeE37vx0GwCPIxb17UeUtf1vviBpwz9/PEvyAm42lMLJ/KMeDZw5IPm/686
f24xtbgq7Ewf/0fZHzcf+/X+WuP5b3W/dNMn61que4vq/zvXe39wvXvxfnqX
P/zQVedLia9fe3EO8zJ8pk+O7X48o3vatvSTdxo8x3nD92VX3GBsduJ/Ds0e
vqzuwXFsVzYbP9I16TW65uLSN+xzcUfxR7/RVx+v+UGukNlk4bkLeXhuzce0
d51a3ED84IVTe75PDf/Mi/ddeKXwBfbr++s6eHhf/pd2eFjauDjPNK7m7V5T
4zLsM2+fMG9fU34XH4zO5Id9qc6V39N9MJP4U57TMyfumrgG/1Sc9js11jNf
g8Nk/Js3fgPvpzO9Qz5n8CT8VHxX/j2fEs9LXIAf/K26Hl0TvuD9Vg0bNr9v
Vvtfvzg/v+PQmo/GF98PLzzxxGvM22uWffPVseN6mf/sE7bAFqvGt2Ov40O8
ZNXsEfPVuw6/k0/3xPnzobHhy2x3elNf2k83kDmXlrw5o+YzvbDpquvZ4DJ+
Q0/EnjRX/E78i3zftOZU+OafqN+fWvfz0HqO8B7zXoL/ibV+d+h8z2eMLR7F
RuA3wFrIsOBBH6/zh+9C79A/sA/xwbvWXOZHuFfxLnGA8IkurDm1X80n516n
7ifc+VXJXfYknBfOtNv8/3PqecWFr1vPa87KIQi+h2v2oKH5C0eOTQ/z/43p
dWtes33TT7GDI28+NTYc/JHz//83Nc6TccGGYv/+Yv7+4VPz386Yml3Jttp3
aHaj81xn1fMJHjA2bOmlqzZu4DSvq3Hvvtz3cWUruv8N6vmSX7BVXZ+8+fXY
xgGZFn8HPs1+Nk7Zz+KrOAPhe3l+mA/sEhbH7pKjAweTp7N17btH7YdHw6Fx
LXcqv/H5ZU/+99j0w/GlH+BPwR1iZ76hxqdxDu+Dna1x7lbNRyfLblny7NJV
w5PNfbxWdqxYljg2bEU8a/3SR7g+4j+x08JvZW/cqfySZ0/djk0/e6bgXZuV
3ML9iZ1O/uNdwA3oATaDa8LX6L8fl/xK/k9w0+CA+y7mn3kqTgd7EKuDQ3xk
1fh55Ls4Rngmmw0tNpn8mPNXzZ80nuHxMKZL5u0z5uN+NDYuBVyGvc9vdu1r
zu03ji1+AjuAf+Oh4qPKGRGH+8Oq+Rbhj2236vHre4w9DwCOB/cSh9m87Me7
FL7Cxt5waLr91KnNC37w36cW+3Q++T760XPdot6v5zyk5HT4dteb///m/Luf
jI1fsTMZOjVZ/NmpvVN9Sk4sefFwD7YbG4ePGf/y0prXl9Q8Zvfhqyd/yXuG
OcFqDp06v3GN2z92fhL5ApfTF1tNLY4rfvud0stiFy8quWB8wtBOKX3Njklc
hN+0/9D8KP7T/rVll4hHwrUTD+bXsP/ZpeGbwXHoIP6Ee41dyf4iv08t2RW5
BQeCByVv6TMlf+K/x88MtmLfxov9rys5ZJ7Iz7lKyRDynp9kfhiTeKPiQ4lv
wpjwl5IbYMxdreQeGRg9Ebw7/M3kBfy22j+cz/Gj+fOqqeEE5A3/gO8Kr2Jz
i6+yl/EUY+fws+A/V54/fxk7P/Zaq56fZT7iC7Ij2BTi8hlf16z9/CF9DGNm
b4ePGLmOn2SM0gvGPQ6NuQ3/hQWL0brX3DfcgS0Fh3h16VF+9ualV8W98Yfx
FMS/jT/PsPmqxZPFu8ke45ccSl5ZxpMxwk8kC88s/bPt2O6V/gm/39hhD69x
w1aNA4Qj5L09aeq4n/GuX+Ddxvs2JWvuQ+aN7bmDd9GLsfeeVfOabvdcng9/
hd4VU9y65Gt4++QHOwTegj8UHuFFJVfJ2cNW3Z4J7nFe7b96va8fV/u82g9n
hDceV/ozvNnnl/xNnoPxSR7y6w8sObFjyQH4VfKR2C2wz9hn4hlsz+Qb8BPo
iRvWvDB++CiX1ziia+CncG14NpxJvHotj2jqeVF4IzvUc7KD6Hp2D/4MvIjd
TdadObR7hAuwh8jRT5RcJU+Nt9uWHc9+j13kGfmt5g2fE4YNv8Y3wgdlx9x4
6nzS8HWS5+R/8jU8hWOHFoN1b+4x/iY+FV5pcB16QP7ngdVP59SYJUeN2/AB
yS0YwDVrPgYPYVvhhZ9Q45sM339scoY+FqcXrxP3FK87sJ43ebnnlb7OeKLP
xC/xDPD6yIKbTU3fie/ggRr/4rB42bHLyEV+Hz9abIxfzZ++ZfUz31e86klD
4xboJ7Yev+p35tOq+VeJ0/5D3oyN/+XZ+f98Ez5n8meNPbbYJTX+9MVei/4I
TxhfEV/rXTWfzVH2Q3hK5At+Gp8HDgGTOKzmo3iIuCZbD97Jn2c74nc/rp7B
uPrt4neJr5Ip5nx4rYm70VvOx65gD7Az1vJqxnaPsc+Tp3hFydtn17jSf+L8
mY+OGUu+n1vyfeOp3fuaTKnrsRvFy/gJ/LPkGZgjbHf+87UX45ve9TwwKnwo
cpWODl/0dVN7P97Tn6YeJ16TmVOzjdibOHr4KuL24buKj9BrcuRhC3xl//vu
99UmH9ih9O1r6n28t96HOBZ5YD7E7+OX8Y3ChzVv8Q3plNOnZmuSRXTSW8bG
A6Ob+EBsaPxzNhmc/Ij633dstDVu3NB4nEcNLV/APcLH2FrwMXYAXzz5f8kP
v1XJUvscw2awHxfHnMAR9O7EfNhWsbMes2q21DNrXJt/+F3h8+80tFgA3iB9
xk78xdh4dPgAdBOeWvJk6T1+EUwGXh+ej3ElfyR2T+QLvxl2yJ6EAZ5e+iT+
prFCBiR/l4+Cc0R+k+PuzVzhc12t3mPscfaT/uP3rdk4q4Yz4CuHny9ex7Yb
qw/JZvI/8Wm8Xhzf9VaN5yuOSG/SLey/g0tvel/4obBjeVbBj/mZnnufkkfh
v5mjV16MY2P606U37z81PWp+Bv+MHTGuer5u7GV+h2d+69TsMPY3u4w9hlcn
H8h8hX/gLB87NaxU/sN35+2qns9zbjg0e9c8cJ/mAT8xcd30K79HfCM8PPqP
z8mfMEYeNTZ/wn3So3Qf2xEOg4eNf/adqc1zHDR+KdyCPZ5c8p/Xc08l5/SX
vv7S2Ps7dnlwovitB9dYkfOAO07viOnjwj126HU04JKwV3w8+CS7jw+fuKh8
DNhqcFZzgnxJvgKu0JInLR4iDhL+IV89+TZ4h2SguBj84I9T88U9tz7gc7E1
+df8+g1Ln7mnzF+2QPj74maRF8n/PGro+Uba1yk9EfnqnRq34uL6c6Oh+ZHB
pTLvyQA2LX+XLI1cTXzR729XelpfxJ6P/x1cyZY9EBwJvpf4pfiXccdeNM/M
L345Lj48Aw5LPogFGBP0Mhx746H5wCeULMAjTn6p+La5IJ5tXuw89PzHbRf2
TeLaYumeT56E9xn5YvzQYyePbY7CZ/hXy7yDPWucuFb4R2u1AVatX/isdBv/
0ljmX15S8zP5u475eh1Phqa+RHAD/R8+P9xBv4zVT/QObIiNhq8I/xLv4NNs
V/bGtarvI2/FvdbyoIaGvWxZ9+C++R5wKrLB/MAjoyPwvOiMH0zNloArsHe+
Xvf3tBof+pHcS/0LcSB2GnuN3ZbxGPtFf4TfFH4YPy18Nv4a+5hdTM/yZ2Da
cOTEef+7+u/F1T/h4c+HDl9Y9bour6u2Lf/h9dXWF+w8GBRcIvnMzg3fNnbh
G+xZ9vc/8v7GFh82jreqcQ0XxHtkE4f/Gj4T3pl7fevQ+fv4TbBZXJvwsnEq
xdfF2eGTnuvFC/16g1Wz7+VKvGnq+WXJwzK2yH1jm/6iG9lr958/m5Xc139w
f8/5iWonn5QNIqbCPiGnyJrE5+UjwrXeMLV8rp9MzS6QR7Bv2QexX8lN+h+X
Sg5a4o9wF37zfkPDX8glNmB458lrc86v1riRr/O4kvcfX/X+331q+gLuTl+I
Qz6t5krmzTNKboXPyeb0LHgH3ucb6z2Ft8lWN2/Yy28e+7h+Vcl7x9Pl7CrH
h1f1sdK3eDx4qOI6+FBwzrU8xlWzL2HPYhbiFXhG0Wd3HysfdNX8K5zHm1X/
6odDq3/x1fCE8Ibo0bfV+8JPY3Px89if4VtFPnqvV0wdx45e9js2KAyYvHv4
qo174/95U4sXwHvobnhP6gp8pOT7H0v2hT/kWeE/dBX8hz6BmwQv5ksZ68lT
ZVPAI9jcZK13xaYkj+Ed5C5f6l5DwyPde/xo49H88e6T72msfGBqGCx/QCwK
dhMch728xs9aNV8WTgRHlxdAT9Orvy99gs/ObxSPw3dRz4JdmPxg8so4MWaS
f8QW8SzBWeDn8sHgVvLpUjeJH8F/gN/C1eGX+BLyQciTt9X7NG/PrfHC33Kf
4ghiCvK16GHvJu/JfIZDkI/iI9cu+ZX4zkXzvkvmz73Ni6nZTRsOPR6bul/5
HftRzoD6RmJp3n1ixY7jR8KV4LoPrPFKBhizxiv7ki0YuzB5x/paPSm4Ch2V
655R/XP60Ox/z4HHQ0Z5HrHyc6aGbeCrwGH4FGfW8beoscpuvPrU64bwAdj/
qeOS+IAxwNaia8079vcGi+cxrtf4cavmO3lvfL8P1ftjg3y0xjD7wL1surgf
/GiYJ7wE1pE4afg5N1l1Phv7Jj5O/Bt6lr6FLXy9xpdrxT4XB3rSYp7TFRtM
jT978dTiz+G9k0+JMyaulTjje+t5+JVXW7QTB1ynjvfc/1bvRzu8Jjp7/7L3
N13sP33ocU1tHAS8Bbin+iDsTFh78omuXL/5t1Wvk3TdxfnIbvoo+fG4Dc4Z
nuUjF/NNXODHq4afBP9hF4k9hxdinIRfwp8y/tZ8z1XzJ1I3QJyJX8FfxFuF
d8hvF0vadep8AWMMzzT8QLUd5LUfV+OJXodVrfkUU/Olxf/3n7//9tTji+H3
wU/IgsgFtRnkNdMl6o0lTs+Ocn/kJHyczISP32UhL+S9H7vq9Tm+WNeG+at3
hQ+oX9mf9BA+VvIQ6RL4LT+djcFnN6/E+/XHrao/3lK/C1+fr8W2jZ1pXP+1
xjh9o1/oKxila+xY8iN4w7Dq+fXOTV6Eh/GW2k6rjs/y8+FYD675Hjs+80OM
I3GXQ1a9/lT8fTiOPPfY2TepuZk81gNKntxkcf48j/mK47jn/Ls95s9XpiY7
yI34I94TPcl/fnbpX+83vMkza76cUfLDWF2L4Q/Fwxp6fO0Ni/PAcfnjySM1
T7T97q6rns/BfmQ7qlPCfoRDswOGkpt4FWwBfjT8Dk4MH4IT7bWwx+XH/rXO
f6eh8+r0z3mrjrcYHzBTXJDUGPGdNo4VDP89ZZf+Yup1AOk79mXq46VOHxxD
XDD5gvT3PqW/jTe5p/xfPtAZqx7feWe1xVUurHd8XM07cwAecdTU/Wp27zo1
r1PP5XPlb4nD0/FnTV2Ok+n0rrig+GD4R2wOOibxI3EYPljqNBqzLxvbnHH/
8FjYZPjD8tLC31J/R/yJDS0GxY5m/7P9k3cKl4N3JH8T9k3u4cB8Z+r1v1L3
gqw7aTHezAMYmHiAPkicZy13ZWzyaI3rWs/NT+Qzpq5N8I7LSx/Q+avqZ3Fm
++Eg6ibIv+T7iD0lzzq83JNqPqeuJ3nkPZsrW9V93LvkvRyKJ65a/Dc4Nz/1
8LGNxeAVxjdbT3/fqvqbbqaj+b/0s/4h/xKvOauuR/6yx9ib+MnudfOyww+e
2lgxfsgS+ZXkI74F7IYtDMdhxyVPw3jGHwqOvE5ddy12sWq5lnBDOK6xHXtv
vepf+W7Gr1wgY0qcR72pY4bmV/Izza1b1P3eue43ejzxmb3HXt9D3PD00n8Z
D28f2pyU1/eIsevf8EavVuObvmZDHVX9HbmSPIzkS5IjsGaYDHmybd1/4pR0
uDxdOP+Tyi5mHxvb7GP4wAFTk7PyTrwf8VZxV3jS/kPjvuJBiR/wu8Rt+B2v
GTuXMHwg4xOO/b0an2If4h6pv8L/kJeEp6OmVOIGv635SQ6wx9wv/+X+NQ/N
SXj/JkPDq+5Tc9l44wvFL7pdydrYF2I85io/75ip+ycZr8kXFheBlyX/J/Hy
8N1S78KYhcdvPzZ/fKOh2fvBzw5Y9XjkU0p/ha8ujhneWPId2dd/qPnE34Bd
wtNT55VMu3H1Mz5i4ppinHDu1P8K3whuz7ZOvJ0+NNeSD88PhVOw//mj3gvf
Yo96P2+t9xX8H/4CM8C5PaX6g56AO/NhUgfS/BKvFC/9wtTGpBoUmaf0D/wl
dVyTVw2HxjvnQ5L/kRvsG/iZvH52FRkEdzX/YH/BAeHDcirFOt42tXkr9mwe
k1ns/dTJ0obj3mDo+Bk7+egaP+zl1E32PftLf5vP5jW8DE7Db+STbzL1+GHq
LAZve3zNJ3FNvJq9qj/CkzitzgdDukXZsSdNvW5SxgP74eKx58upb4wTRX7g
Q6VO3XZlf8IVr1l2kviFcRo+769rXosrhNfGN2NHh5d10NDrZLBP4c2rkkPi
62vY4NhwNPgZW+1JNb5/X/PKHPO9eYaDtXXpD/5WeASb1Pz6bc3/2JmpexKe
nfkUnpTrp5Zqcs5OLDkBr92+7ETxGLww9uLzxlZfTJ0xOFfqupGRMMrUxXzT
2PCi8OjZBXjWqRMI3zRntl+1/H41KvBso7dTv+mzNceCe4ZXmPoIZBUcJryB
/cr+eHXZH+6J/09237vk0vklp+Qa8UHIbT7J30vfw0bDx2C/uD+5//AROJcc
oX2Hlie0UckqMpS8+tGq15N8/MIecl/wxP1rfv2i5Hr87nuWvNVX4nOpv/DV
kiPwSv6G+iz0iXgPecl2x3M1Tt839byRQ+vZ9Y+4hxgIvoI4/OlTx6vdk/fi
HsUf1ik5wI+DW+JuPrTsRPN3p6GN9afUeE9cKXhm8prlOJO98mfFjchefew4
+NmXa7zHrmA/0c9blR40Vl0/vAQYFrzT/bNv2bmeQ5yUbE+dJ3irfHDPoH/Z
WPKAEmfCV8ZTxrPCFzOP+bNsNfGu8HaMNfb+NkOrOZ18stRNZHezt2Pnr9U2
nlo84tyS+5tN/8zr09fGonEY/MYz4xWFf8k2id1LbrFtflzynt+BZ3BIjWN8
gyPHnj9G3qRf9bF83JfW76NP4lfGTzSPzHHzynxK3gXcit2dPKXEn7dd9e+1
2f3sf7YDnCO4dfB4fpT4Dx/c+Ik9n3gxvgdMC59VPHnjkmfmlfP5/4RFO3WI
yTY4RvS2+LT4kmNOHXv8m78D60j9MrYvXCKYIT3OVsdxEE8Ifzh83vAj4++k
TsJnqi0+qL6fOn/q+/GjzOXYT/zvtbz4oc3TK6p//zT0uogPXbRjj4bvAieG
F4tRwIvDT4EnwD/h/MYGu4Adz85/fY3zH5cuxD8iL+hDcR1x5dQLI9dgUamn
Jpbw5VWfp7CPU0qf4RffcGo5iOIc4kt7lj35wPo9uUMfbFXyRx7JMxd2THgm
4SvvUvIieQFq8sCpYFbkFT8PdsDv4+/tOjb5KRaGn+sa7LnwdsN7fmiN/9TB
pkPZp+LYYtqJ57M1YfzGGDuZrlyzI1fNHwnvkJ0jvmPuJG78rJI7Z696vTNy
Thwg9V3xEh4w9LzDJ9Y78lyPKznADxcI9DzxT1IvUzyPH0Xnfn7qeSswSVhF
cEH2HtuPLUJ/wuf4+4eUPn16tcW56Gf2Ff0c3kLkKnlMJ5FLZDJf5f1j91fY
ca6d+zBv3bt5jB8KpyObyCn+JluFncJuuc/UdId7Ci8xdd9yn08u3ZJ62eGH
sTudI3k5xtm6NY6MJ9xafCbrDOCn8LnJE/aleCD7El7zgVWXK+RD9DX7UjxX
f6eeA14335rfJn7K3hNr4QMl/4mdyGYNXmmssFv/1X4kA55T+pMNuuPQ8oTg
P8bWdjXO6A0xFT7DLWv82Z/44lF1HMxIXE4drg/VeL+49PrDSm/Tj+KQma/i
kYmjBT9znuBQZ646LrXkDZ1R18s8OGPV7yN8svBc6RPYCXuRXomd4H3qy7zX
4MWxA9mE96zxrh5d7Et8WvIKZkAvs2f5JsnLTL1bdulvSpfga0SfJC8x9ZqT
v7HLqo1LthfcIv4RHg58KnXYxELVtGEHqGcjDvqles/ex2arjnv4PX+JrR//
KPXenlbtY4Zmyyben7hz4qvq8X2u5J/57n5SP9hxxrnx/sQa77vWM5Mj7Arv
IfFV+1PvKOuYJE/B2DZu2I/Gwe1KP9GDsBx8P3j8K+p8kdtkPV548AP2Gqw3
/OdvrFoMOf7pO+v+Pl3zMvVRk3cpjpp6YOLXS96hcbrJ0PIH2Rfqtfr/1GqT
m7BaPmb8y3fXeZyTX4D/uYaBDM0GCR6Q9YH4OyfV9+zU1HnxHfnNvuVjh08l
VgiTETcUD9m25IIxzh4PT+fLdf2XVP8nHk9u3rTkN1sftktOJl4uP1kfZT+M
4tix64nE7cWNyKv4Xfwb+Bo86h4l/+ht4+PQ0i9wmWfX/by97ifrXIg50mvw
wdS/gdvDRu9Z52FP717vK/U9wptkZ+IP+n6vxf2zL/h2/Dz2Af4hzF7eANw+
eJbz4JbADILH4y8bC+FTHlzPZhzJL2E/47eF3xOe0ovqfX191XlhaWf9pkdX
+/CSL+ETJe9PXFI8Mnyo5I+krmHGa/B++AA+AVsDfhu8P3kT3qF44nF1vy+u
62vjg/ju66te1++42u/8WV/KdeDYd1v1Or9siifXOP791L6HycKp3Qf7M/X2
8QUOLfl2yNj4htGTxo18jZuW3HxHtWOfG39DjZ99Vh133aTGX3A1sXBxQTmy
X51aHCE50vbDv9TNC69F2/lOqLZ3/Nq6b/gMvAePjA9qPDjOPeT3J9TvM675
e9btgXNtWfpP/IYO5M9533y71EOJ/7d9zWN6DY4Ve49dq49hAPLOjFXjFM5H
P+PPiJdl3SIYk7g+HJL9HXw0eM5RY88/5a+xATwnGYy/Bq9yDhim+Cys2fiB
O/+0+lX/frX6l32Lixde3gWrVj9KHSnxr42G7l+s8SdKvsGN5XXCONhHdAxu
ClyejyAual6widlM7Ez2obmsLzKf5UEm/k//hx+6fs3lxCncGz83ecdkDv8l
/JjY23BQ2EjqIht79Nr/Vr+x/ckxOAp88mXVXzBi/S2OKNct9aPW+mrq/j09
wFaO3UxuPrRsF1g//POwuo7zx08OX22nsXF2D6l5RD7ft+YJ+Rxee9ZTYofH
/mbv4LHwf/9W7yP4VfIGxR34THQEjPP91W/4QHvWPDbe6Gt25QdXfX05+6Mv
+Y6njh0v+2uNv9QpMB/NzaxzEX9yg3o/16r3wx9J/Xl44Tp1zFXruokTicOJ
xyQPMLhOeEF8U/b3gfX91eq5jO3Dq/+Mb/pHbApeKT5Fd8MixS/YtRm3xjA/
K3bwsr6QZ+ej859+On++O3+/79T8cz4DPIjMoi9hF+ZW6qvzW/gv/Ji1vJua
I7hgt556Pa11azzwK3zvGDlD7G92d/BovsYpY+fhwEv8zx907Q/VfIr/jOOD
f5R8IzKTnet9fazGi7kFY4Dr0c+vq/kg3pK4IszM+ibwiPDKxMHCy8+4cs/y
nWDv8p3Y3uzu1IM29+Mfqjee+k/hpYRvnTyA8JvC3/aMp5b8gq/iN7xh1dcV
4JPSGeGDJd9JrOeQqdc5vGvZl1mHK+vtGf/6bL/qt+vUeIz//Lt6ztQZfkE9
H39h96nHl5IXy1/YvM67V803caDwFlwfR0IOfOpGsps+Uu3wDk+sNu6h/3M8
24bdy249vvrBOVN3wPYhi/N/pH7/h8X5Nlpc7w917ruVHkoe+++qTe5vODQ9
YBySO2Rf+FnJ848eS/3s5KlsXefO+dZqsw2NV6mduGB4I7er9p8X+/84dN77
n+v8+X34M/JnLq0tTtMtF237/1JtfoHf3HLRvlWdR/vu9dsc77e/Wvz+L0PH
4y5d9XWa1nKP6//fLNobVzt8EbLLmIq8NQf5l/zIbaYezz+qxh/9Hz4Ye9D4
On7sdf1SLzDHr1/nfHedb5kXRq6Hl5G6Kr8ueR59l3r3F1c765NdvNh/cenI
y+p7+9N23ehv109dDHryqIX+yPFrPtzUxvNDhr7u4W+GnqcYXXNZPUfqIbp/
8oqsEl8kr6JX6Ji/r/o6kGwr8bfUNRdXE0/j+/P74QD8ovAy/J7+Cu/qpNJv
qcsWfZf877Q/UPtPWrQ3WHV9eFK1PzB03qr5nno/cGUYX3hP7HYYED+bvnY8
/Zo83thB4b0cter8JPqWX7hP6SN+InuVfYyLxW7MOgZs+6OnXh+EXU6nBjdL
vHCf0jH0C/42nAYPBlZzYLWDp9yg7Bl+Bp8DzoFXkvqb7DV2Dd83/Ibgjmwe
8vz6NY7+p/TZP/IhhoY/4x3gJMAXPla6iF3FzpKfxZ/hS7kP/kzq4ub38LI1
/tqqxV3cJywn60VkmzxeMtd4ZV/Bo8kO5zVGzM+sAxqcPHkQRw8dN9cOLpV1
y/BGxOvgiE8aO+9GP2f9TLyi8OiyzgB5z8e8R+k38krsBHcbPy51Vi6r/Vk3
KXwZ9i9c3NgRb4FxPGzq/K/kTZ5Qzyv3YdOp9Zt4AL0Ku0k9s4vr/0sX7fAL
tZMXdHG196vxdKWSg2QkfI5efe3U41X0OXv6XavOx2Y7Z926PDc7Qz4d/t7P
poZ34H+aA+o+/GnV+5O//sh6RnVT8AGCc4jvsofEaMO/eVW9G/OHXQz3xbvF
v4XnwnXZSlnv6tE1v/RvcPvwhl5W85Odb+xcqeTVkjt44sIu2b/6J+soHVK/
T/1m3+ujxBWyXiVbhJ5JXcH4IWt5v3Ufqaeqnbhd8qFT1yK8A/Yn7Gzjodmm
h5XMyf6p3uXRdb2sF8NOPWPs6xeGl+76v1v1egTJf0j+RnjAxrD6e2wRNkn4
/Mkjy/N570dMjR8iTp86VofV8+S8dOxY2/ApxrH7Kzn+sGqHH3jW0M6Z+gi2
+uqsamdd2mXb/qsvfq/9udrPd1yuQe59iakkLzT5Ffpxl/IP3lTzUbzSb/ki
qX+x79D4BRmv7G8++D/qiw0NK0g8UWxJTCvracFx2Nu4mOQpXQm/TXwk9WRw
fsTXE5dPPR11O9TwwNPG0Q4ennWOcBG2LLlLluA1+T/y19wkZ7OORfjU5B0/
NDy81Nl4/2K8JA6e2jDa+PfwxtS7YX+6VuoDJ96V+IJ6j8n/xmHIuqHwxdTW
gnvCK8XDk7+WfATYEFwofF84y5dK73556n4In0T/eV/03071vugBvjycE77J
XxULxKmBz7kPGFLqP8A14o/CObIeRe6Xfnl3nZeegTvBn8LPj93NpmVfWCvK
/MGXtF5U6iEEnyQnLlp1OcQeJZ+Sz4t3Pdb8M04j18ID9tw/q3Ekny11qHGo
/lzjwTPsOLSx8tTF82r/19TiG+Ic4hv0GZtCfIsPvWP9Pnk6xw6NA5M2vFj7
2Gr7bfLvXl1b7cdX2/aOi/Prl6yndUT197GL62VduWMX7awnoY3Xmnxp66pZ
10/8H84AX2DrscXgl+Zn1hHE/di25rt3nvctficWI34nHoOPhhe4zCuEkT5+
6OuCqb+/W7XFEtfW+F01uZB4revJRWIvs5OzZpx4qLnsXYlnsV3h2sEznDt5
2l8ee5576sOmLrC59uvqf9hL1p9K3f/Y82Kj6459vVXP4xnevXieUxZttg2d
kXriyTMKfoV/k/po3qH4nPGX9eEyX5Ivn3Vbwm94Yb3HnUp+pb5b8myTJ5N1
ZJJ3m/gaXBDmknhI8pTz+9RBW6fkq/HCnsbnNx/phvCX2GfBAcSp2AvihdaQ
Wltzd2z/Z32q+EmOeeSinTjj9ca+jukB1fb/cxftDUveh6cQ+5R9zEZfrovl
+NSdyvWzTlbWF866u4lvGH/GXcY7XUEuJj6W+Iu4jPhJcGZ2NjksDgObDz9c
HELMJ/Vg4Fyreg/6P3gtG/Pwkl9kFxwcBh4ch17G+0r+K5+Hff7Yuq64qPmX
PH28APw9fok5tO3Q84DM4fjF9KtYa/JaEx8TB6QDUpcUh59ezDqYqUOIP8a3
5TeK74j96bv9huZbv6Ku/6ChryNxxNCvl7pi0fOpnyP+/ZSp19/x/HBJGB07
Ivgc+b9f9Q88gn/OX8dz4p/7/+RF23aToeMR/vfd5Yv9jk87vO9Nqp26u66H
p+zZky9DPyWeIE7PX4VzwjBxUmASqdOXdvi2qeeF72yMBR+1thdcIvxTdgUb
IzXo9PODF/vNj+1qfrCJzhtbnFftEflnqUNiDPIv3lXjwHhgv6lHgvOT9ZsT
NzLn8EzxIvGFdhlazJn9JnaX9ZfdS+SB+6GbN5x6vQlxF3yt8FFT504MRPzD
78iUB9fzwM7JFefEwxNHs019KMc7JutKhXfvGT4w9vMYk4mb574fO/W8Qc8u
niXvJ/xb9Z2to3PY0NvhKWX9BO/Q83lXcIKbL+7n5LHj//pSOzhT7usBJT/v
V/3lvty3PnV/ZCP7iu45reT6oxb9mXpZwQP2q/mX8+80NBm249DkGFsO19A9
yfHNOqh7DL1Oyt6L9+tY/EQ8RfVzUrfbueUJp65W3kPWm1QfDf/gxOr3rGuq
vXGNs03GXgcq/XRS3eP76/epI5S2fecs9rNVxZ/gfuzr4EF0FvsmepLOZG+G
NxT7hp5mD9+19PWvy6YRO8AVxLdkj7PL8S03HJo/Y4yRQ+JDdDjeCL4Iv50c
t34n/59dS/9nvQLynOyI3IpfwT5QPyB2/y/qesHFU8+V/2HsydvlXwQvoEdc
Fy+IfYZfwLbDN0q9H/Zu6mnwO9hBfJfgAeIeYl+RT0+t7ZVK7mgnvhE8L3Vz
UpfA/Ty19Kn7gR/LVUve2nOnxsMXu+Cf4OWK7chvFddJ/YC0r1z7w99d4+0O
ff0XW75l+Ly4FclfIE+Di9CH+G78bTok+WritHgr8Bn5e3uNPX+evlXPSR0n
HC/xV9yh8Ih2qfe5z9jrSmR93+yn5/V7+PKRqxlHOIUfnTr/RZ2e/yl5jd/P
dgv/WwwQ71F+ibZ6Q+Hdv7P0Rdb95O/x+5KnG76x57pR3bfn816MvyfXvqzX
TI6J3fM54HT0vljbbfK+ShYeV++cvsZb43eLb/LD+d/mB38Vd4udm7q24cEl
/xP+xR5O/eD4ceHVJ062pvMWbeus6C/2knqqydOGX/Mn9ce3x16fI3kG5v4P
6vn3L7lBXrBFvOMn1nvGE2OjwHi14Rx0ZvRl6vpkHdQb1fsyB0+r93bXeo94
SOE7BUd8Zdk/WV8r63yftrj+K4e+P3VNX1ntlw+N00Cf0tVZn9b3afs/eSD+
d2za8AE4d/gFbFn2JLuSPRl7eOehrT+d8Ze8x9PGXk+KXkq+hXdEP7LlzEO8
HHwc+Kf5lPxUc2FNx5e+lMuTmAauuHHJb0odhDynZ2Q/mLeJH7Nz5OXxX9mj
j1uMx7U8w6nNS/2W9WPFFsSb6VlzMeviZB1ZsvguU6/HJ39FjY/wafmtdCs/
dsuSNeQMnq16JvTB+aUPzOfoe/qZHoO1slvof3ituDXdZTyKX8RPx+nFo4ZV
0WU7ll6nh9gL4tTi//sODTOGwdH3dAZ/NPF/903uew73H76v573T1PM+cHjh
68FFzN07VL8mngUXDc4a/Dx1hZLvIz7Cv2Jj4plkHcMtyp8QhxCPOGZo/lJ4
pvx9dnTqIyzrdKR+Ofvab43Z+Fu24cNpZz1Ovgw7IfkB4TnCnuH2qa+NF4kf
qZ7KS0vuw9SyHjm+b/iv9xo7/zf5XVmH4fW1n2w1zm9c8gcOlnpp7Lask0w2
fLPkLJnL/yZ38STFELJ+RXA0zyNeE3wqdajEFa5f82yNDzj29WrMXxg9W1sc
QHyD/md/p96P/akHyh5PXsZL6vyuZWzkevwIch+eAD+CbcLqkm+aukTs1r2n
Pu7ENPjT4a1l3e7Ed5Ifxq5SrwtmyL46aNW4HnhW7536fd2/9qeej/vUznpa
2e94uKTn0oajwlRjv9HTT5h6PqvjHrA4H1wGL1S+6g/qPDC2p9ZxwdvSzvvJ
eYLD0JvsFO/V+02c9CWL+2FXimuSl8Ye+Yyfyj+HKxu/tvr4UYu2/eERsye8
H+vUfarsDPMn+eyeI+tfr62bXL/P+ty26szttWhbd+h51Q+2X1nsf3id62GL
dvi2qfue+9f2u9cMfV3qver8rxn6OtXa6Xfbm9b32vcrfyf1bP0u6/PYn3WS
cnzqq0ZfkKHsgU3LHkhd/dR5w5tVg0zcUPujtT/trHOy8aq3D6nvtFMHMfvD
Gzpk1evI/WaxP3yNXD/rAuy7aH9n8fvwni+s+8k6VVm/M+sw5vfh9QQ3zXqh
6y7uT/vExfmuuWifWNe/Rh2vLpv9py76Y+NFO+vBpH6b/n3foj+z/ssl1Ybt
i1WKK54/9nUfU/fBuIZv8rXlV8Hw6Gt6m76GS/JXxanEp/BF+a7W3eK/pq5j
8inwbLN+l5xfuLFcBjgyPDh+JhlKfrI32ZliufAUvhldmPxqeI4YVnjJ+D14
OslbyToY4YPbhgekTXexu8huvmh4Qqn7LC4F74z+TJ0ZcWTxY3o4uU/s48QR
YNN4sskzI6/vPfV6JuJk4mPsMHZE4j3wRnYXXBHeCJPDcwxeSnfIX09eauqq
BV/HG0p9dfyE5JvgOKxXso1+lKtxRZ3n9XVe+kf+vJoJyXNKnYfUa+HvstvI
NH5UeCB+w89kL4gfZL2TrBNzeF3fOGCvxn71+z1L3vq9/ubfhW+S+kM/XLV4
mnwVWF/qAdreYHG91CEObp51NPlGl9X5kw9+ver37acFH35sdrTfwz/ZhfQ7
HuCxC/0RvDf+N66lvInUZ+N3hZea+kraqZ+S+FreH72sPoV4kzgTzBn+D9NI
/rn83fCi2RHi/Ikb41Fefer1x+MHuV82Mt7CWs2cVcX/hxa/yfqqvg/PIPJQ
O3G74OepF5j95iL79H01H9ld/GA+8RVTr5Mc3NF+fR+cgu29/9RxdnY1P0FM
eg3/HNt4T7+kziFfmB18VvVf1tOMPaU/YPzqP6qzgTOK1x1/Jfn2fJ1rTb0+
oviL+3GP/ICsZ6wuz39Ovc5l4kjG5yVjXyeBDGPXJ//W72EkwUf4rVuVvPnQ
9M+1zr3XS1a9XjceiWvx51NHCr7MLg2/JXXlEv8ObpT1J+BYuBSpF5M8NHav
+xTr5Kskj944xaPO+ofhGWU/O5KfkXqo1m1nH+Jf7TC19+Fd7DS04/zumMX1
rUsNv0/9bji+tvFzwtTzAM05840dmfqx8unhDKkPd516X1eden4+vRT/ip5K
XQ22H3mVdc2zPnLqT4c/Fb6Ue1573qHFSbLehL7zbuksedbh0+CxHDn1ddmd
U5su+MvY/cHUFU2dc7ie+c2n5q+St4kP8N+Cb9Ah9EfWL8SZDM9bHPGyar+x
9t+k2ql7QJ6JHwbnERddv+SeeAOflvx7Z43X5PWkjr3xsO7U5op5AtdRzwcn
CIZl3l469bpL3on5qj4C7DH5NK7lOqmfwbYM3rFtvZfk/7vfrIu5Z8m34A/B
Q+UKiOP+o37v2Pzm8NRdXz4P39T1w09PfkrqEhtntyw5FP+AfIBnHlDykxxl
H/HV4Jjr1LhL/SrjL/X2w7NLfH/Dko+wlp8ODXdh02X+e07vSFw69alSN45/
RWd4Vtg2mYVnlvfgnRy86tcxjp9Y18WZSz0Deoo+Sj7C2jstef+Gamddkovr
POE9p+7g62t/5t8l9ZyvrXbkVur36c/UNyHvk9eUdtYPC78+cfvd6/6NI3bQ
M2p+6++rLtrRs97LulOvk584wLr1bPiQ5NqldV33tX+NZ+859alSlzX6gt2W
em9wfzngqRclv8G7UgcodaSjR3Je4+SKxf2lX/L+wgNOP2Z9nMsXcil4iXbw
MPbChXWe60y9v9yn6/G58CfTDxvW9SLXyDjy6Jv1nGws/i47S87YvYf2nfx6
NXZS7yL8x+ST4kHh1yYenzp2frN2/NTkeerv4F6Km4knsp+Tp8VPJp+NgxeM
HY/DE6GrUqcu9leujyu/ztTrtwVv8Y4Omfo63I6zn18qlpb6+WwnciV1ofgx
ib/xZ+gr+ZTJ2+TX2KfuJL5AeJupWyLupr7MLkOLC1t/z3rs8YeeUXIj9xP7
E14q9pc8dBiC9e0fu+iPV0x9/Zzr1/PDjdf6vvofT0ocTV6OmJq4lD7epfp3
LVd+6vU4sl43fF+cwnnkuobnkLzTR1c76wA8dtG233cvHnu+TM7PXncPWect
9c5zf/wSsZTwrhM3zjrCjx4bX8ocTL3F1Lf+eslbdig5gM9q3oivhe9qi+MZ
/qznpEu8b/ZjeP9Zjyp1BN9U7dSP3WDRTn6idvI7crzxslZXemr2DF+Gfkj8
J/Ufc73Ul91gcf3Um9XGA5LbjxfPf07dUuMXHnl5PX/4vMY/OXNFzf8317jh
T8Gz9YP+SL5AeBHBk/mF+jXxG/4aPDfxXvOW/8t3+0aN59hfa+u0DY0DqB5A
6lIe8S9t78932vT28SU/6e+/1/f6zbxNffvUC8Sfdv7w+5M3mfzlLap/r1Lt
qfo6vP2sKzYt9t9i6L+f6tjcb/IovT/jBS/HeNVvWTeM77/lor22Lviqtf9W
835NDkyNr5z1rW5ceucJJWf4Z/xDtqE4NP+Q3In+105e92Zj38++DB/G/qxn
pZ06NeI+cIbECcQ02O/i9bihvocF0yuwuax3FHs9+pEee0rNN+OMz0Y/h3fP
vsWzTb5p8hroRfkm4lNqqPHH2X9wbXggGSv+IT8bvy/19TxX1l/kZ2xZ93dQ
3d/Oi+e3f+kXp2561t/7cD0nH+Zr1Q/8RP5i+DBsbfiGGJX4rzpeaiKJ0VxU
/ee3Wb/AfW829fyIfYfm+6Tec9Yxd7+3nHodztRrSV0KubdwHnpbDCz8B/9v
Uf1w4mI85Lrez3sX9xfcPeePP5M4x7urf/Wz/pULpf4o3AeOk/WUUu85OEnk
iL5/3+J5PZ9nS367+xKPO6buJ3VIsn4B/cVndj1+c+q/xt+GE7HV4XLvqXF+
63p+8a8Xjm3MJX/LVhuOoM0PZ3ux825b8ks8JH4fvAg+FX/O8e7HfbkfuKBa
j/Ju2Lv+z/ohqbt9cMkvGIc6HWzArBt4+qrxBNQUkEe8xdDziuBZ7Cr2VdZX
iV3FXoLNwfHYT6kz4L3xOfFgT655KM7KXyY3wl/OenFbVF+Ht4tnio+LkwIP
El8M/9X7D4/2lGrDZ439+w7tGV61avnrO9X5dquxZ44bB8nrTb1t53K/8NwP
1PWMAedxX8+r8WbcGW8HVz/+td7b3ev44CjsCmMh8fHUu846uqnLbAy9vfqP
7Mq6bbeLPFo1HtLR1Q/wMXMdn8A12DH4BMHNkveduohps3Vwr8P/hDPoJ3j2
OWOTW29c9K9+1KfqOCfufY9Fe7tqO05b3Prw0hewP7WrEv/3HuHlWV9FH8Ff
1BvcZmh6NOu8XG/sed3aea/XrXaun7rvwRNcz1jJuGG7pT4MXIA9p506b+xY
ejnr06auAbkGD9DfsEN+lJhr1q3IOoBwDlxVOAvcI7zVtOMXwJtPmzo/IOvk
XKn6Kzg5Xj25jYslPpp1kK9T10+8gB46dep1xQ+r41JPKvkGiRurscBvYUc7
d+qTJe/W2BEfUbfouOo3/SVO6JjwS/HC9HHeJzufvQ93Ye+HV531x9hVbMDU
x0596+QFiS/Af/Bb+Prh5YYPgqcGl04dDDhy6kEetpDn5rR4XPI1/lL3R9fD
f5xH/Dp2CxtGvQKxxcT72aPW2uHHw11+sZhn0ae4ijiLbMcvTJ3fknhS1tMK
H8R1Tq/rZv3fI+t54WPhHZFL8JXko3qPryj5YFweXPIh64/TiWSlc21d48L5
cISOWZz/PkPLy/lHvY163rdXG15AbofPQ5YFj9GfuA/iwqnbEX5K6nHqCz5x
4kmJmxp3fKDwBFPnJTi/fnn91HGjxD3Cp+A38ZmSB0ZGh7+d9fjow6vWedil
7PfE58XOf1z34X5waN0PLiA+Wvgz4dkmjpX6qeH3BIe8rMZV6uqmro36SYl/
wmoybxKvN7fut5hfuc+Mv9Q5TL4EnS/Pefvxn9d3y3wNnrtWm32qmsdjk0ds
sMiD1IUNL1AcUvwxPFQ29UfrvHgxiYslbsHGZd/i9aUmzkfHHpd4fb1//Qd7
TT0RfWkLD4CT0i3njH29w9R72Xlo/jF5/oXFfvLQ/Iz+cO1TFtfPOvHhr6tJ
/4y6Hj8FNwyOAdfAl2I38Q9Tn1ueK6zj6Gq7b88Q/jeuOgwk/ADng0GfWOc9
fOzz3P2Gt0gei68kzpg4UPBTPgibMvXKU68wfkbqGsPXxK3DR4OnXKX6Qxww
eRap96a9zdj5SufUfH3EYr8aodvU/tQjW9aLu9XQ140JX1zc+0W13bXGJ/89
PBtyF34HLyev4z8nD8u7CR6eeCQ8HM61Tj2n5wu/Przv1GsKH9x34YHDmbwn
/4f3nroy4bWRz9576pGG1/rVsa/vmfozjudzsQsT/0kdnfBf4XSvmipmOvX4
QdZ9S52arDN0fulPdsRQx/GL+TneP99umvp6WPxi/h9eNPxg03r//Cf+6XPG
zmvQjj6L//qYsa9voR3+j2e+Yuo4f+qTwn1TJxjGyN7lV8X+JnvFKPhx+C6x
05K/84rqM7yq90497ms88Juss84XCX9afIJvFz/Uh98Vf48/HL69cZW8oOAK
bBVyCQZI/5LF+pvNcGjNC/OeHDh76nkayUMJzsD/ih+mnTpGfC9xHnqE/7/h
0Osvn1LjwLu9Tr3fh9b4yPoZqbvzhaGvQ3zrsa8r7P7eVffnPk9Y9Xqs2f+k
qdc9i14jn3as8XXbsde32nhotukmQ68Lmbwk7ax/kfhQ8qlvXm22oZzU2IdZ
F+LG1a+b11y+Uc1rehs2l7pjbGd6jZ5j15pHHyt5R2/Q33S3vCH6G89avE7c
Trwu9YyT15b6B+ErPHTxvB8fu/7xXOTwydXfy3rXWT/3E2NfN+PCut+si3te
vb/UtUn7vDpf3u+hq7627XlTq38pXm3dHnz/xEeMT3gQX5TfkvWRkrfKpxZP
oe+NrdTXMh/DJ7ui7u8PY7eP6Bd6Jfz9rNeT+pvwUrhq4rXwTHop/CU8dPkE
4v3yCYK/49HAq/miYvdwCvgEeckOT7yALqbfch/emfECt2CfBE9M3n/qNcSO
S92p5L2R/4+aep0wOLqxEzw/dRiDq6WO4Rfq+uwjfgP9Y7zyn9lT7Cp66ayx
+dHG865T1+s3q3nE/mNvsDvoJfLZtchnfkvsNDbbWv3cscma5Fek/n3ss9Qd
wIfHJ5dnu7bW66Kd9Wa0n1vt7Hee1NOnT/mj7xi7nwrTYdf5P3kebHx2n+/V
EabTsr4oHhx+Q+KD4tJ468En5e+IBapRc7v6/uySR/hE7JuTa56xo8K71Yfy
5fhCcDRjiD+UdXUS70l9utRPMLbeU+MMH00MAe4Xfiy7LPGrR0w9T+9m1Y7+
S73wxLEz35LvvHPZj8nHD95qCwvarfDB5FGEb0zXkfvxn/ixfMXE5+5c7btW
O+uYhpeRdXH/Uu3gG8cujve/+tba8C21NeV9f7n2iwnmev6/6+L41MV+TLUT
5xTzhBekrim7kr0YHmL4Iomjp/627+3POjipe5163VmXeu+h708edNY1efPi
98FfwqN03JvruKyz8+bF73es+8s6Kb5/U32ftv/3Xhx/5qKduBzcCl7FlmKf
iCHKwwqul3Xls74xP/nfaxs+k/qvWYc974MtyQ5MfIFspp/YVXhjqUNOprOP
4IDyG2Bk8ED74ITZzzYyroJfkpvhw7EvrL394cX1tT+56vzRrCv06GrTZYm/
w/fxO7eo+Q8PtIXn+l6bPba2vsfQ15kSbw+P3vf2Jx8lOG74l7hW5h+OBXkC
t2EPpL5G6jI9pPanft+61ZZ/gSsefDp5Gak5Kg4F6xQfE68VdxJrCr58zNBy
I+R5wNHlR/huma8hX/511c662WlnPfFjFm37d6vzwath31lPO+v9JG8P11PM
P/Wr1GgnP8PDs4V/4xnsOfX6TKn/wgZjj2Rd1azTBZeC27ALUq+DfMo6JO6D
vZ73l/or+KdyU8J/JYdzf9psrdTnln+SPAOYBzxLfhz8R44cfw6PnmxPPPSa
i/HieWDDPxz7+kzmnXXcrY/xkqnXRUu+SOrJh+8a/zL1wRK3IN/hLXxROjvX
kdeUPGt+m9/CK/N7djreUOJnfvOjxf3Jk5AzkfwR7eRTaD+ojvc7x39xcZw4
U+pwJ1/D9gH1vba8ivst2vAl3z178fsH1Pfabx8a5zF1d7zvR4y9/rg6ujCa
0+t9pY74PrXffbEln7ho25+8SN879km1f5+h56dk3ZzvL65vqx087AFjz2vJ
/kcs2vDnT0zt/sR/xIXeM/T78797TpttCw9k3+K58zUPLr1NX8PSUs+YPcuu
5M/dd2ht9kPsDzZJ1iNJfjUc6+djrz8EL2az0ef868tKP6vXxm7PuqrBgcny
Q0v/w4vhz3gv4cFnHZLU1cg6G2s2wNTrrgaXsQ1fWDs8GPED+Gz2h0/2kPp9
8hHCSxez4zcnT4mfLP4YP+yYuu/UbXttHW+eJX70zrIL2AdZvyr8urX1eauf
nzV1/BoHMPYUXRr8IH4JfUVPwTy8T3Nvs9Jr+KvuBQaS+zmojs3vUicreTLB
I+9Y+jfrLyXvXhzVObIeCZvF71If3HEHTj2eS0Y9t+TwV6p/Xrvoz8NqvOT9
wbjgrnBs6+MkTy71i38+drzU8T+r36ed9VHIW3g83lTyQ54+dX594r/BIfj6
7OvwkuhQ/Jmsa591V7cs+Xm3kqfwk9uWHoCf8I/5veYHHCH4qO+1L67npi/g
xmyB2AXasRO2qPZOQ4stZv1Ube8qPHTHb7HYH3573kN4h77Xzvp42e+3zpnf
J891p8X5HCd+elCd5+V13oNK3sNnwjdmt8g/zboTtq8be3yU3gqfMPbMRWO3
f8yL20ydjxC9o2aD+mfB/dhq6m9mXj+7fpc8VvYcfc1348+eVvIjfPs8x49r
PMMLzQsYX/j87Lfn1TgOb/EJNQ+zLnDWPUwec3it4bXbsr9SL5z95f9Lyv8L
Dzj8Br4xvz/5QVlfO793LjIk9lzqyZEH8EQ4n3uD38H7sj4DPJNceGP1C3+L
HUy3blz3YT+72/ds2ZPr9xvXcfbHzyen6Bv/77toH1zj17g2frPeeupNBWcK
zy485+RT+44+S130xNET/9fWVzsOrZ31q/HXrjZ1PDL1eP0f/AeeiyPF7mEH
vXPq/F7jwngIrw6vB14T3AkGJR4JyyXvE5+EC4mtZZ0U+Ap8LPxxeJffBzda
4l5/GDtf13n8XvwHbsQ+FAei/4xhuNwRNd/gVMGfo7ezXq3vHWN9yDfUfXx4
7HnA9Dp9fvd6b+EtGe/idewC/QEHYyckjs0vd3zGnTEoX4Mt637hbvC21N1I
/O+WY+dFabOH3Bt72v2JQ5LLZ9f81CeJOx4y9TzO5CuQo+JM5OrPa17vOPX6
UXAr8z28QfFY9o05T9/Lo5HfwSakH73HQ+q64vrXrvkRPDD1PeiX82p+wdST
h0JP4onKJ//V9M9xAL+LHUQOvLH6T98lvz52QPKesv5m7B/vk2z991XP63j1
2NvBp+LvGf/OHf5ScPTI1dgfuf5j6voX1PX/WPPgzXU+z7HH2O/f/29dtO9W
Y4kNdlqNLzGAxCdhwezF+OuZb8nbsPUMqTPBH3tqzRv+GDzyYVPHS+kD/kjW
j0z+XuqbvLTkB/nyzanr8fB18EfX1t2udnBIdsPnpx4fy7wzH4yfxBvWK3kT
u8B7Sv29Q2s8pk7G6TWujW92iPHIXjxmcTy7g/2Bt8n+cK23TD3fIHH1n9Tz
wOk2mLcvGhtuF7sj8T1ywr0n7ybrKOZ3qRO9a7Wj71zvzTXvtckw7fD4k28H
1xeXEK8QHxSLlBsnRs9fTFz7JvUe+b/0J58dHhlcfFXzGf83fvzXF/0R/mri
mfxhdTnFG/UVDNOx0c/PrfPH/gp+nXW+c72snxF5m7hf1q9K3mjW5SEr4leS
F+RW1st6w9TjpafV+8ZHed7iftiaOZ8++Hnd/1/rfctTcp3wV7yz9acu7/l5
Yo6u95P6nlxWE+evNV5TDzVxsbzHI+p45wuulfyll9TzhF9DnpKrjjm/fvfX
qa+bqI/IR3a1ZwnfJfhG8gXCl8j9xE5kX/EXgoOnPnzyI/ko9HPyzqKfgguT
y+yS8JbZDI6P/2r8ep/ss8dPfR14441OTZ284BPJ30qeU9ZfjB2xT8kNepru
T73w6G06XDt1vKOfjLOP1/gyX5O/FZ78NkPrfzrkgnoPx9d7cf3bl97J+za3
2YXisOwj53H96K2sp5p4sffkfYmbeF/n1v3etvSbXED8heSHpd5L2sl/Cv7p
GuFxHV7bYXH+rLuVddzIRLo2+WnJ8499Glwofmpw1OQ3ek72cNZHDx7MB2SP
iuexs8PfFJMR+0zMKXhw1l8iJ80xOSjsaX4InnTqk0S/Zz35PO+59XvbPcZe
H36Pscf13zb1dWByPG6RHKrgCXIJ+PjJm0q99r+tev6a/k/+28XVTr5bnvP3
Y6/be636/rp1P+7fPbm+OAOb98CaH94rjON9dTx7MfVmzJPUZQ7vJeuBRu6H
75Y4xgfHnj973brONabOl0i+QPhxOc53b506DyPzN3m34UFk/cCMv9Q7iz+R
eknxx8PnDp6bOvZ8+HdOHef0vTb/N+tI0BuwZr4dXh25HVwVxgrPzTp2zk9X
hZ8p9gXvjJ1MduJXwZnJfudw/vsOzQ5iE+079fhY4iHBxbIuqPgJrCj4cdb9
DH6Ml+yYLRdt+vwd1YY9P3aBP28/dD6zdtbXCM6xXrWD7yfvJHW3zakLx77O
b/RF8tboWnHF4B2pD5b8tOi91CvHjcI7Va+Gfn916Rnfa5Mrv1u0+YP8wNSv
3rfafBJt+aLGZtYHzTpc4qTuK3k8azUqav4l3zPt3ce+P+uY8xPI5eQjP6Xk
fXhYcG94fPyAV9Tx4pt/Xvye7MOLSb3H8JeSh8TuFm9lp/9y6nb7BXW8+h0n
Ltqul/Wwjp/6OlzelffDr/U+U883eUJiNql7n3wn7eQ1HVn7HWff36ud9SL/
vtjv/9QnSf5U2ql3kfWsc73/rnbqdoZffP26/9Q/c//4f/KazOPkPfk+6xjh
ZqYua9ZBNkfC29xm6ryD1NXkN8Gp7lZt3yd/iU6826Jt/6/r+NR/yf7N69jb
rzruxYZIO/UyN6/21nVsfq/tNzk+60O+u+yc8LKSn8TXS345/RceFTuJPwpP
X/tu1dqpj/GQGkfJ14qdQ1f4/Vvr96nHFfx3be2bsdd7v3ixn74kx43n1E8Q
z059AnqavmeT0HHwM/YjXnPyjsRTxHnFfe849Tyl8MzEiVzXPcD71PLDV8I7
sR47fgTZnHUmbcX7fK9tnTayPOv7wJlh4Mk3enzJ/+TvfKWe2/PBr8WTcNtg
TO5LvhHMP3i/8+Jeb1XX/2y1c73Yp/pI/+BfsjVSvyJ5b+Fl5j175xdNHafz
/UVTx6XcL3/csz6vrvvVqdcDoXfkueS+D6rziofySe5Vv8txqdN64NjrYzle
vAMfMLi2tvP7Tjt5S9n/+EX/su+TZ+W+Dqjn33RxP6fX+8S5vaT2v39xfXmQ
4r13Kn2bugTJe8cV4QvEL3h3+WOJz8IZyUp24xZT52Ms89rMh50Xbfv/Uu3g
lb7XZrfitYTf6HebLPZnnY/kFcKnjXF4kPFtrJPXWackeQ7mq3jFtWt+m+fm
d+qkBH8NPy3ywbw5Z+zr42adz2tVO/lvab9h8Vz0CD6Ee4we2ameJ+3wMO5Q
932HeoZXrbre8h0dl3Ua7rDYHx7fU2r++z/rJWpvMvU6LCfWdZ0jvzcf6fHg
vW9djJ+0U+/6fVO3J5PvKU7Azoehb7WQM55Bf/j/LvWcH6z+5lt8vuSX72+/
6D98nPCI7lTHOT5t3P7kERnPWSfs9iWvyFF6KPlbWVf3HjX+3eP9pi5vY8el
TljsQnk+7J3ksSUOJ56Wegfxu663aKfetOe6S42Dzafe5uvCgFLfC7Yd//K1
U4+/JQ8q6+CuU+3gf+HZh9cUXmDywtKOnsh6qHDD1I/asr4P38h+OKJ8B5wU
djTeKtmRfK/YxcnPs11v6nWPzDO6MnVtMu9Sdzl2IpvxjHoOz5S67OEtekfi
kuRa1ufC2Q5uKw5Jn+Jz4nHic8pXYysmjydxzdQz/+TU16dQh4eeNJbkqvwj
H2jVcpA2GVo766amv3HX7lbfb1n9mXVN0k59ee3kcbJL2ZNZvwKv8ZTqT/2W
9VX1Z+KpW9X++ANb1XwLP0R7t+pH/YofknWePIfx/v06PuvKmCfWfUp+3w2r
nfvRj6m3p62eA3/+BWOPk+W+1uo/jB3P4o/IkYBL8kvOmnocI/4DnIBtDl+F
2yRvMPXHsh7VBdXmn4r7iRvKL+DPwV3YPORP6qxEHoVn99QazxnHxtdpU69r
57vTpp7HdPdqJx8v+L55OUy9/tt9hzYWkm9ke6+p+50bLObLfat91Njr9Wof
W9/FTtNOflrWwTtq0bY/60ofVb/fpM5vrBq7m9Z49T8sOG1bYzn1ppbrdGiz
29fyFsc29zw72yf+wvn1/EvcLetta/Nbw/992tTXd1xbO6rau9a81k69SL/B
txKflBu5S8nd99c4xl2Vn/Lp2u+4yGUy+p11PDkCHw8/XpxEfEXc9twad8ZR
6osk7vWP+MbU61fi87qPpy+ulzqD/1XnT75R7td79/6Tl5rxvKrxDl+SA5c1
f91/1hN44OJ5UifH99q+z7rwxlPWccMhxge3Jhs++H2GNr/PrH527+6Pn2/d
d3hJ+BCJ4+FgqOkFt0x9Ljzj1O0J3qId/kjWU0gd9y+V3E0eLzlCz+JZ4A3C
kb40dX2bcYBLKv9EHor8E//jZCcfxeez9Z38OBgynDfrrSR/FG9GLBwPi32W
OHn8odiR6sNnTXfz29acf0S1jy95NZW8Sv5b8h9Tryz8vOS55XdZX+HoOj48
77wfWBc/gD/wi6mvR+AdeT9iE+HD/K2+h88kHiNPi4yPfM+4zPjKeiLRp8+o
45OvkHVJnlH78zw5PvMm8voh9d6TJyb3zJz8z1Wre6TeMH4knuTeNS6NAxz+
j9Xze/asK5V4qTwB8SS/XxtzQxtjWcvE+R9T9/Xwxf3o9/fWdR1Pj6feseuL
i62taVTHp05y+PO534dU27zPejePWvTHMo6ddXEeNfX1cZKnoV7yD8Zenyf1
VRMHSt5u6rj6nVhV6qHaPnRxvtSF9kzOF/5E8NzU+w9Ol7wCcTljBs/KGEo7
60aQT8H1zq7v/1a/e8bU15/Zb2g5ifsPrf93H/p6U9oPrvb9Fu2sJ6d9v2o/
uPYbI9vVuDG3rSuwXc1vbXJimccRuybyYdeSq2Tg9+r3WXfB77+/sJd2rfM5
V/J95ZeQTVkvxP/yfWInblT3t0udz3a7uo72Z0r+pY4ZmwPPDzZO/jjesbmf
rPOT8yUOnfXcxJaWmNJ7xt5f5lfWgU6+Ans/fGh6jLxis8R+gQ/yIeB9/Id/
1GWqNuwcLp/6WeJrfpP6VGQ/uZ98WXiD2EDiE8EXUv/Wlg32+LH7fZcu2nxD
PiS/nH/o2PBb9VnyVWIHh0cZnDb+aerPqy8XHYKDzl/mQy75HnC22NN4V/Cb
V9Tvtf2f/Es+GTxHbOzgus6JdV3nS5z/e3V+vJodFtez1c760+7lxMXxwSU2
qe/xq343dt6ae4OzBF9y/RMWxyf/AL6DT5B4dOzPyM21nMSp2TXhubFv6D/8
C/oQTs/PZDsHx4bzZf0M57f+U/KG1d+GVcGmsn5Q1mWIvsq6ce8qebI2R6Ze
T1l9g+iLP9T2i/W9dtZ5iZ+edeOPrPnPDjEmxRGePHWec/Lkk091m2onLz/H
Z96I0cETnzF2/gg/IfjubWv/A8vuIFMur/lO52W9L/qM3k6e/1klZ75f7yF1
QvJ8sbscZ3/yncV/w6sJfy11pNnTaYuXiI+kvgrbnF1+zNjrrNx36vyO4Pzh
L7Mlsh4KuwGn8odTz8dOfDn1VMkntgp9+eipx2/YhztV/4ZPm/zYKy32215p
sT/rGn2g2snzZwPpR3YAe8A6dbHz5Pl9qNrswc/Ue9Hf7AV+R/hBm06d7+v9
ZZ3PT1d/p25z3lvqvqR9h5L3y+sbw77bub7fbur2ynY1xtM2dneZOo4a++gz
9f793vPcoY5n/+xcv2fHZh2ZD9R4c7z+2KKO36L6I/cXvz7jLniW77TlqtBP
4mH8p9QpSTt5zakngLfDPsCDuWzRf/JeHB/+cup/sRezPvEzpm6Hexb5klm/
OHYEucP+Tl0sdqkYIjuV/r7v0Gzz5MvGz9CPyWfZe+r+l7oGT6/z71bb8BVj
12rjMe42dT5j1slLvQnPfdnU8ymX6wPFvnM9tiG76xHVTp7lw6udOpXxS9l2
+Af4H39a9EPs9LPHbp9p84HE2ekz/lPW+eaDfqN+p2/VdMj6fttP3d7/VLWz
/7M1rk6qdvIMUsdB2/bqdb3glTvU9+8fez38c+o5z5i6vb9J3d/Dqx2+QuK9
8groi/Cu3rT4vecR86LbEm/dZmh4M9xZO3kAeAjslCNK1yf+sEf1Wdb3WVv7
Z2xxlectxu1Y17t07PXlD5x63bY8/11WjVOQ8+MbJH7z5UW/rdV2n3q9hh/U
/kfVM76orscufEHdh/ZDavzGfoc3iuklH+xF9fvcb/yS5J/tOfX6G66X9Rxi
x+nvrI/w3KnnJ24/9vuPfMz9h9+vfUk9zw6133kSL/ryYlzsWc9/27qf7E/c
6ZJqJ24tDu7+gtXihpJV4X+8pPa/oPog/ZV66HAJ8yd1OI+o97N5tX3//KnH
szev9vVrPhknqWPq+6wLtbb2w9Tt39QVSD2mR9b7yHjF23zk4v5StzTnsU28
Xvs+Q+dHkrvBA2LvWz/Rd3ib2vwwupnfDy8Tb5VvZ4wYH8HFnNP5kvceuR49
4LovrC2Zuc1C7n930U4dmxyfOgbJTyef4Xe71v24jnvIOjBZx2Wbup+sR0We
Ox7vHo9mba2JqeNgntH+5C8u79f9PKju7yp1vvPrfM+s/kk7/l/W0806cfTM
Nxf9nvo72i+o67yoxtsLF+3cR/I7gwNE7ntfwXXOqu/3XszPxBXF/XCd6TNY
X+o/8lPvPfX8+eSNPb76ib9z1KLf+AX+5x9p8wfiF6WdeLa23x69OP4X9Xt+
i/4Pnr5pfX9Q+SvJD/DdtxfHO3/wd228/2nqPGTznb2c+uNPnPp9OZ5cz/p1
5Dk7M/lJ7Ey+yDen7o/Ef/Tcr662/x9X7eRLJW8gfLmcL3Wkcj7Y6r71vbb3
4H0kH9Nz87/0g/vFFQhv4KvTP+OGjg9vgz/Jn8K/v/ai/Zqx5wFpx/+8oPaz
Qdmp8c9Sj+gxtT/5Bst28gK0w+t3TK633+L8yWuIv0deyc8Mvx1XSuwkdQAj
Z7I+Iv/Rva1f98fOYzvDDbTxrcSKs37db8t/cV5tuhQPMP6TrfERf4u9xiaJ
X4kv+cr6nf1ZB4CP85b6XerH/mDq6wYnnzHr7ZFX7ITot9xH1mp/ez1LcNTw
s9l+/Ed+AHtVfp1zb1m/t03e3Sunvk5c6hsnL02sV1vsa/epy8/YBxfX+fAb
xYiTt0c306VreeO11X74qtfh/8qinTxNto128tti/0TP0XnaWUdpzzo++a87
jH2dpj3q++SF7r9o22pfWseTZ+ZT8r+M8/0W41PfvGbq/iSeOf19RPU3rB3O
Lg63Vu9n1WKE4Zk+vOy39Id+TH2d8BTXq99pZx1uPiCOnTyq1GWXH4bnpK3O
j7bvYa0wMfjWdafOHzl66usAJW8rxyffLHo9+RDyfJ44dF546uSk3kviVrEL
4cZsfv2iLc8ArhZ/K+OR33TZ1OtcpW08rdW5XjV5S86S35Ff5C8cK/WVkieT
/Mrkv6ReaPKUYI7uP3WBk09lv33JB0t8PvH0rK+Qutn6Inw7/PjkaaWee9Z5
xL/Er089Gec8b+p5G9+u36eecupB3WLs/BV+FbzCHM96UMHXjTO6UJ7ETaof
/lrXS/1T13trtW9c7fCOkscX3lH6x3Fr51i145MP/8a6f7ISNp08Z8995zrv
G6bOz3FObcd+euz4RfJi71D7bZNfof2PunRj58WTv3mOcxfyWFsdYzwGMdvf
LH6X+37r4jzafgs3Sr58cKXkQ8GX5A+lHoctfO0j1Wa3sd+SH556YqlnnnUy
Ele1zftJO366trhm7Mnv1bwyv+L/8yXYu67lOfcv+y84LX48viWeqPgI/qWY
SdYLDK6W/JngcFnP3cd9J58x+CY8/PCp5+UcXvs/Xs/pPNrsUrHI5IvG7mXH
/vn/c57k1eV8bK0r17jP9a8y9XwP3/+sjvt5nS/28eE1/umnrJuYdZjCi6cH
3Yf/7U8ebK4Hp/tpPdfPp17nMG3HX3mx//B6jj+MvT+uXOfJ7w9f7E9ea9bP
if8VPDb1aJM/lDp3yWtN3Db8jsz7TUueB9/N/uQXHrw4Pvl8kf/2XV7t5Pul
nfrBT1ocn/WX0rb/97U/dkz2Jw8y+UtZf4Se0RaXoW/2HHtbvGYtN3jq9eGW
64do/67ayWtOO3nFOT+e3loOz6rzSdlYyfdIHCf5Xqlv4ftjpp5PnfVEsg6S
795W20MW+8P/OKT2s2vJnqxH9Iux191MO+tpva3Os+7U28lTyu/9/8bF71Nn
6u/VTtwr+aTR+8nfDH/3qrU/61eknfov8u/pq6yn8L1qJ56U9ejgdYlvwAeC
W8VeCD8reEjqYFxYbdusz6IdXn3yYxLvCH8qeHrqV4SvkTqZWSdmjZs/dZ5N
8m/YH+I0azmudb1t/uX48PW18X7okuTnhwf0ttoffn/232jhP7DR1mphTj0n
LHzI7L/e1Ot7HLfoj+S3JK8xdQzxQHG3cEHxFpe8ouMWzxkb8WnVzn52UOIZ
+it2JruZ/R5e9reqnfqrGQ+wS/bWWq7I1OtsZZ0525vW99ry3TZYtK+o49NO
3m/Wu8DlEZ/A68GnFJfGtcPBO6W+Fx8/vdqJPzjulNo69va1/+U1drcZ2v3a
ascee8XY68teUM/13qnnQ25W7dSv0Q8bTz1fNXHVzWo/f0yMFmbLtw6vWExT
PDZ5oFm3hC+R+cyfeOX4z+ua2J5Q3+c+Nlu0s45k3kvip7GLn1jXzvm8G7zE
5B96brazuGzsaL9JO+um/rZ+D29iZ8B8fjV13IN+0j6g5K3zXlRt/mzyRRNv
vGXZ88dU+7dj35912i+stmOyrkreK15D+Mxr+Rmrys+Ymg2proj8zd2Kr571
OO4wdV71yVO3N3P8bxf9ftHU65boh4tqP12R+sS/XHW8ij9s320X+9OPeb6M
p/SP+Zw6g+Z06gqlnnLqP7hP90de871TLyl6LLiBflCfRr9cPPU6KslfTd6I
77XXq/HA7/z11Ndl3arGR/LOU//Ffbm/5L/abrHoT/wM/NRDx873D0/7g7W1
725j57Pf6V/2hw+edvJtP1jbOy32n17nO2TRFm/L9X2f+FuuB986p/afM3b8
7INTx7+W93fOQuY+te4n+1ObmO5jv7+n+vOm1V8vrvGZeqZLuXXJ1PlhGddk
F3kXvrH3uLYO3aqfJ3L111Ovu5DrmdcXL/aHPyQ+776y3kP4zxvUdU9f3E/W
g7hk6rzFI8d+/NaLNll8yuJ4POobLq4XPtLjqi3eS747B/n+nlX3q7TDu3zX
om3/U+r48ELxQVPf9j6LdurJpD6wLX7QDca+jsrXFu2vlT5JW+w5cWrxcXFE
+F3i1eKocDy43h/q/YTfwCfjf/IFrXui/ajyRx899P1iG/EXtZ3j69WO/kv9
/8TrPzL2/tJXWW/22MX7Sn/l99mv/55a/Wd9AZwT7z88+K3re208A/vvX+3U
x0+dbvvWzlH7t6n9aZvr96x5xC/Nek3B79nWa/j92PF/fgIfRpt+Yes+pn7v
/+jHj9c2/J207Q8fPnVjtqt21jMzLlIP5j5Tr8+M5yoXIfVi8GF9t1Xtt5Wr
sfXieMdmv/9vtGinJoFYGr9QnB3GFTwrfGP+v/U74FNvXrRTNyjre9jeuH6n
nTiY8WZc/WLV+cs53+l1Hu34K4kXse/YdqnvEbyUzafNFkx9sfCb4BFD/d5W
O/Gx1AXK/vAscDDOrK02P0E7eerZ73jtvRfHv7i+P7N+FzzxzNqG16GNp5P1
MBJfFFtMPRhbx/g++7VvVe3wfNK+VcW7cnx4gMn/JofOnjrfC68FdyV8bbwB
/JjwdvxPbmTd59Tl4MvjS+rfs+u8zmfdaT5K+Kl3Lbmzff0+dTL/XL9XRwTu
vE+1Nyx5RX75HR4ROUau49fYt/3ivKlH7rjLq535rG3sRh6Gh/G5xflvPvZ1
NByPr0OGPrKuG55p+EbRd8v9+D1bjL3temdU+4yx84C0UxfB+LQex85D45+E
byS+AEcX0/rj1HnX4U85V66jrf/gVVnfJuvKh88a3lKOT1383M8WY+d3a7PD
xGuy/lHsW3astljLKxf76We+nXX84KHhqyR+5HtrLgQv1Rav+lW1w12L/Rne
7/Vrf+pFJS8oPOLUw8/6qv9ebf9/btG2/dziePMx/J8v1DZ12JMfEb5LcIEz
/uX4M6aOG/AbxI1TH0tsMHXAzl2cJ3ybnCfr82T94fCBbLUfUPsfUPtzPJ4T
Tnb2h58dvs+DVm1f6glrbzL+8/GOfVC1T6z9aRt/4Yv8cer8lT2qzS/M+ira
9x47/ynHf3Xq6818u87Hr8zxX6158Mep86dy/tQxDc9pjzpneCzBq6KjcGZS
l5rcT13qHUov4HuEN3LFYn/4M+LhqZ+ZNi7MRdWO/8FnDn5w/KKt7on44fPq
ervnnsa+bsDuU6+PkjoW2wz998dOva5X8rx/uOptcTzfpS7XAYvz+//ARTv5
PXhMbHr1wckaOIl+Dl7yp2pHH2U978TpwsOxrqV35Txfq/fmfGnb751mHbWs
G55xgZflu7vUftvn1/c5fofFfv+7x7ss7vdPi/af6vdpZ37m/j23539BPX/0
d9rsOr5/cIDUoQ7/JHxr34XnkHrQ2qkDFP/6jnXs9Va9bqF24hnJJz900X7p
1OscHlrtQ2p/4ppszm/VVjv2p7gEmY8HQQdnnRQ+33frfPecOn/ik3D6+XOt
+XefGlosgZzlf9PD9AZdLK6gLa6gHT0NT+HvJ14ZHn/4QeHhB0cJ/yX7tcWX
95l6vPM19X34K9rnVfu8Oj78luQTfGjRzvpMOf7bi/OnX3K+9Ps9q38eXe/z
ZYu2/Z+oNvmND4I3cm4d98067ruL86zlFNT2u3WctviXfEF2unbqFKW9trbK
2PPPtfGLjlvsd/y963y71v6ja/+963xpJ+8x179ntZM/Fh41nsj3p64Hfaed
ur03rP108+cX7ej11Mswbv7rX/a/fOrr42Q9qRcujtcOPyX1T8L33r7siYur
nfWh0w4PI/VEEufYrdq7jR1f+8HU52fsFfEIMaOsH/HcaosraFvXCU/g6lPf
f2R9/+M6zvHiDz+u7dUXv1efQWw757d1jgvr9449cnH81abOc9C+a72zxO/F
d8Xq8YG0/R9+0HlT5xOl3ox6Nf6/8aLtN9mfdRATP//72OvPaosFi0EEp+Cb
iwEmjpj4Ueo9pp6heAv5kHUJE19OPsFHq8034AckP43e5ldeZep5Ddr8FPH+
1DlMvcT4fVnH0blzHfFHfqN4ZOKpU53P94lP/nBxv8bjq+r82v5nLyfemnyL
I+r4rMPIR3U/icOGn5Dn+FntDz8EJ9/z8oN89+pVb/+ujvvb4rnvXO3URc31
/2fq/aHtPOGb/m3qdS1z32vXGfv5kj+YfNPkDy/rhfnu/3V1NilxRUEUprsg
ewiYUXYQkB5kA7oHXUUmOs00ELKLniajbECNOxCHgiL2IOhAmwSC4TPno4qM
bp9b9+c9fe/+nHeqrthzzOBg0FcZT9HvDeoKGWf1pwKjadkkdZ6QX2fNxDwB
flutf9lU6xkt/y52/bf0ozI+ufyKfP3VmB82KWucL8uDb8f13KXcpjqOmPWN
6wpnKT/p9x35UPhJuMyfScHGSTGuut8njBvL2gMN8vvUsfxx2ttJ+Z20Z//6
UclP4mdFnvynPJjxUijn+V73wfwv5SPVIbB2Zh3NfgkeRv6PFH5mb2Ds5D1U
63wvYz9KfTFxQuADJ1/IN0bywZ4Dq6YcbDwX6xu/Bey5pvp7fB/381ytv9Z/
lr08PMNZtZ1YAm9i5zf+tmLS/Wo+BF0X76/fWdfL1nuJ9a+nffbWT6O/s+Bv
sdM+daxP+mdcj/tDOAD2/6yt2Z+4H2Is4L1nHGM/f7fo+Ohg+F04Gv31Xvje
+pf3WO1v8jV/F/1RxJ4zir5zm1R/8G11nAb9/+ifcfhz+ie9GNfDOMp4yvpL
PuJiYHW6H3J/6iLlQ4wroD8NKet99nFi1v3k/cp1eP4KzzQ6FZ5rdCpgxuv6
D6u/+V09X2g3bvmXaqxeSHxTHZ+S9GbUV4ezDV7k/j8uWk/EWM2YK566nlf5
Pdfl6F+dDx3vXb/j6wd3KI/o+S6nmVfUa+0uWz/7I8/tc/Jp37iRlJffBb/O
PX6K/brav8N562T053mku6P/dfX8Sbqunvf0U1/HTnoy7Ht5Xld5n87zXItX
eR897+8wdt8//fIOYz/Ib99f0hc/1GXXfxp4FftBNX4c7f0FioF45Q==
     "]]}],
  Boxed->False,
  ImageSize->Small,
  Lighting->{{"Ambient", 
     GrayLevel[0.45]}, {"Directional", 
     GrayLevel[0.3], 
     ImageScaled[{2, 0, 2}]}, {"Directional", 
     GrayLevel[0.33], 
     ImageScaled[{2, 2, 2}]}, {"Directional", 
     GrayLevel[0.3], 
     ImageScaled[{0, 2, 2}]}},
  Method->{"ShrinkWrap" -> True}]], "Output",ExpressionUUID->"8f72973a-8091-\
4d55-b889-3c23e1e67f8e"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Graphics3D", "Subsection",ExpressionUUID->"8d428203-2452-483c-ab24-4f33ca3d3ad5"],

Cell[CellGroupData[{

Cell["V5", "Subsubsection",ExpressionUUID->"a85a7e40-df6d-4632-ab6a-2ee56a9bbdf5"],

Cell[BoxData[
 RowBox[{"<<", "Graphics`Shapes`"}]], "Input",ExpressionUUID->"09044ece-81a1-45f5-ad4a-c5fa70b6d1ad"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Show", "[", 
  RowBox[{
   RowBox[{"Graphics3D", "[", 
    RowBox[{"Cone", "[", "]"}], "]"}], ",", 
   RowBox[{"Boxed", "->", "False"}]}], "]"}]], "Input",
 CellDingbat->None,ExpressionUUID->"79dde59a-23d4-4319-a95f-c826bcb85a3e"],

Cell[GraphicsData["PostScript", "\<\
%!
%%Creator: Mathematica
%%AspectRatio: 1.0855 
MathPictureStart
/Mabs {
Mgmatrix idtransform
Mtmatrix dtransform
} bind def
/Mabsadd { Mabs
3 -1 roll add
3 1 roll add
exch } bind def
%% Graphics3D
%%IncludeResource: font Courier
%%IncludeFont: Courier
/Courier findfont 10  scalefont  setfont
% Scaling calculations
-0.0567234 1.16608 1.11022e-16 1.16608 [
[ 0 0 0 0 ]
[ 1 1.0855 0 0 ]
] MathScale
% Start of Graphics
1 setlinecap
1 setlinejoin
newpath
0 0 m
1 0 L
1 1.0855 L
0 1.0855 L
closepath
clip
newpath
.5 Mabswid
[ ] 0 setdash
.49115 .52402 m .40998 .50931 L .52632 .86433 L closepath p .717 .323 .3 r
F P
0 g
s
.57482 .52273 m .49115 .52402 L .52632 .86433 L closepath p .624 .251 .316 r
F P
0 g
s
.65504 .5055 m .57482 .52273 L .52632 .86433 L closepath p .505 .148 .294 r
F P
0 g
s
.40998 .50931 m .33728 .47926 L .52632 .86433 L closepath p .798 .372 .236 r
F P
0 g
s
.72581 .4731 m .65504 .5055 L .52632 .86433 L closepath p .323 0 .219 r
F P
0 g
s
.33728 .47926 m .27912 .43541 L .52632 .86433 L closepath p .845 .382 .074 r
F P
0 g
s
.78108 .42726 m .72581 .4731 L .52632 .86433 L closepath p 0 0 .032 r
F P
0 g
s
.27912 .43541 m .24145 .38042 L .52632 .86433 L closepath p .69 .258 0 r
F P
0 g
s
.81494 .37082 m .78108 .42726 L .52632 .86433 L closepath p 0 0 0 r
F P
0 g
s
.24145 .38042 m .22963 .31836 L .52632 .86433 L closepath p 0 .044 .606 r
F P
0 g
s
.82221 .30811 m .81494 .37082 L .52632 .86433 L closepath p .954 .943 .631 r
F P
0 g
s
.22963 .31836 m .24742 .25485 L .52632 .86433 L closepath p .222 .254 .684 r
F P
0 g
s
.79949 .24499 m .82221 .30811 L .52632 .86433 L closepath p .959 .843 .686 r
F P
0 g
s
.24742 .25485 m .29576 .19685 L .52632 .86433 L closepath p .427 .364 .684 r
F P
0 g
s
.74642 .18856 m .79949 .24499 L .52632 .86433 L closepath p .893 .738 .682 r
F P
0 g
s
.29576 .19685 m .37146 .15181 L .52632 .86433 L closepath p .548 .434 .675 r
F P
0 g
s
.66695 .14627 m .74642 .18856 L .52632 .86433 L closepath p .826 .658 .674 r
F P
0 g
s
.37146 .15181 m .46667 .12631 L .52632 .86433 L closepath p .632 .489 .669 r
F P
0 g
s
.56963 .12436 m .66695 .14627 L .52632 .86433 L closepath p .763 .595 .669 r
F P
0 g
s
.46667 .12631 m .56963 .12436 L .52632 .86433 L closepath p .701 .54 .667 r
F P
0 g
s
% End of Graphics
MathPictureEnd
\
\>"], "Graphics",
 CellDingbat->None,
 Evaluatable->False,
 AspectRatioFixed->True,
 ImageSize->{188, 204.062},
 ImageMargins->{{50, 0}, {0, 0}},
 ImageRegion->{{-0.317647, 1.31765}, {-0.120879, 1.24176}},
 FontSize->9,ImageCache->GraphicsData["CompressedBitmap", "\<\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\
\>"],ImageRangeCache->{{{-59.6875, 246.688}, {227.688, -49.3125}} -> {0., 0., \
0., 0.}},ExpressionUUID->"a1af2a2f-fcc6-44bf-92d4-82cfcf8a5163"],

Cell[BoxData[
 TagBox[
  RowBox[{"\[SkeletonIndicator]", "Graphics3D", "\[SkeletonIndicator]"}],
  False,
  Editable->False]], "Output",ExpressionUUID->"8fe1971c-af5b-4055-90f5-\
b7d4c4898fb3"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["V6.1", "Subsubsection",ExpressionUUID->"86fcb99f-1d88-4eec-a10b-5dae3bdd7b70"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Graphics3D", "[", 
  RowBox[{
   RowBox[{"Cone", "[", "]"}], ",", 
   RowBox[{"ImageSize", "\[Rule]", "Small"}]}], "]"}]], "Input",ExpressionUUID\
->"a4d6000b-68f3-421b-b55d-d2c16deada66"],

Cell[BoxData[
 Graphics3DBox[ConeBox[{{0, 0, -1}, {0, 0, 1}}],
  ImageSize->Small]], "Output",ExpressionUUID->"435ed917-e006-4c16-bec0-\
9b1cc273672c"]
}, Open  ]]
}, Open  ]]
}, Closed]],

Cell[CellGroupData[{

Cell["LiveGraphics3D", "Subsection",ExpressionUUID->"ad8f807d-49df-4b44-b04d-8dbc4748b8e5"],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{
  RowBox[{"n", "=", "20"}], ";"}], "\n", 
 RowBox[{"WriteLiveForm", "[", 
  RowBox[{"\"\<cone.m\>\"", ",", 
   RowBox[{"Show", "[", 
    RowBox[{
     RowBox[{"Graphics3D", "[", 
      RowBox[{"{", 
       RowBox[{
        RowBox[{"Cone", "[", "]"}], ",", 
        RowBox[{"Polygon", "[", 
         RowBox[{"Table", "[", 
          RowBox[{
           RowBox[{"{", 
            RowBox[{
             RowBox[{"Cos", "[", 
              RowBox[{"2", " ", "Pi", " ", 
               RowBox[{"i", "/", "n"}]}], "]"}], ",", 
             RowBox[{"Sin", "[", 
              RowBox[{"2", " ", "Pi", " ", 
               RowBox[{"i", "/", "n"}]}], "]"}], ",", 
             RowBox[{"-", "1"}]}], "}"}], ",", 
           RowBox[{"{", 
            RowBox[{"i", ",", "n"}], "}"}]}], "]"}], "]"}]}], "}"}], "]"}], 
     ",", 
     RowBox[{"Boxed", "->", "False"}]}], "]"}]}], "]"}]}], "Input",
 CellDingbat->None,ExpressionUUID->"09190051-1e7a-423f-aabe-7f8e4cf12963"],

Cell[GraphicsData["PostScript", "\<\
%!
%%Creator: Mathematica
%%AspectRatio: 1.0855 
MathPictureStart
/Mabs {
Mgmatrix idtransform
Mtmatrix dtransform
} bind def
/Mabsadd { Mabs
3 -1 roll add
3 1 roll add
exch } bind def
%% Graphics3D
%%IncludeResource: font Courier
%%IncludeFont: Courier
/Courier findfont 10  scalefont  setfont
% Scaling calculations
-0.0567234 1.16608 1.11022e-16 1.16608 [
[ 0 0 0 0 ]
[ 1 1.0855 0 0 ]
] MathScale
% Start of Graphics
1 setlinecap
1 setlinejoin
newpath
0 0 m
1 0 L
1 1.0855 L
0 1.0855 L
closepath
clip
newpath
.5 Mabswid
[ ] 0 setdash
.49115 .52402 m .40998 .50931 L p .82221 .30811 L .672 .728 .891 r
F P
0 g
s
.57482 .52273 m .49115 .52402 L p .82221 .30811 L .672 .728 .891 r
F P
0 g
s
.49115 .52402 m .40998 .50931 L .52632 .86433 L closepath p .717 .323 .3 r
F P
0 g
s
.57482 .52273 m .49115 .52402 L .52632 .86433 L closepath p .624 .251 .316 r
F P
0 g
s
.65504 .5055 m .57482 .52273 L p .82221 .30811 L .672 .728 .891 r
F P
0 g
s
.65504 .5055 m .57482 .52273 L .52632 .86433 L closepath p .505 .148 .294 r
F P
0 g
s
.40998 .50931 m .33728 .47926 L p .82221 .30811 L .672 .728 .891 r
F P
0 g
s
.40998 .50931 m .33728 .47926 L .52632 .86433 L closepath p .798 .372 .236 r
F P
0 g
s
.72581 .4731 m .65504 .5055 L p .82221 .30811 L .672 .728 .891 r
F P
0 g
s
.72581 .4731 m .65504 .5055 L .52632 .86433 L closepath p .323 0 .219 r
F P
0 g
s
.33728 .47926 m .27912 .43541 L p .82221 .30811 L .672 .728 .891 r
F P
0 g
s
.33728 .47926 m .27912 .43541 L .52632 .86433 L closepath p .845 .382 .074 r
F P
0 g
s
.78108 .42726 m .72581 .4731 L p .82221 .30811 L .672 .728 .891 r
F P
0 g
s
.78108 .42726 m .72581 .4731 L .52632 .86433 L closepath p 0 0 .032 r
F P
0 g
s
.27912 .43541 m .24145 .38042 L p .82221 .30811 L .672 .728 .891 r
F P
0 g
s
.27912 .43541 m .24145 .38042 L .52632 .86433 L closepath p .69 .258 0 r
F P
0 g
s
.82221 .30811 m .81494 .37082 L .78108 .42726 L p .672 .728 .891 r
F P
0 g
s
.81494 .37082 m .78108 .42726 L .52632 .86433 L closepath p 0 0 0 r
F P
0 g
s
.24145 .38042 m .22963 .31836 L p .82221 .30811 L .672 .728 .891 r
F P
0 g
s
.24145 .38042 m .22963 .31836 L .52632 .86433 L closepath p 0 .044 .606 r
F P
0 g
s
.82221 .30811 m .81494 .37082 L .52632 .86433 L closepath p .954 .943 .631 r
F P
0 g
s
.22963 .31836 m .24742 .25485 L p .82221 .30811 L .672 .728 .891 r
F P
0 g
s
.22963 .31836 m .24742 .25485 L .52632 .86433 L closepath p .222 .254 .684 r
F P
0 g
s
.74642 .18856 m .79949 .24499 L .82221 .30811 L p .672 .728 .891 r
F P
0 g
s
.66695 .14627 m .74642 .18856 L p .82221 .30811 L .672 .728 .891 r
F P
0 g
s
.56963 .12436 m .66695 .14627 L p .82221 .30811 L .672 .728 .891 r
F P
0 g
s
.46667 .12631 m .56963 .12436 L p .82221 .30811 L .672 .728 .891 r
F P
0 g
s
.37146 .15181 m .46667 .12631 L p .82221 .30811 L .672 .728 .891 r
F P
0 g
s
.29576 .19685 m .37146 .15181 L p .82221 .30811 L .672 .728 .891 r
F P
0 g
s
.24742 .25485 m .29576 .19685 L p .82221 .30811 L .672 .728 .891 r
F P
0 g
s
.79949 .24499 m .82221 .30811 L .52632 .86433 L closepath p .959 .843 .686 r
F P
0 g
s
.24742 .25485 m .29576 .19685 L .52632 .86433 L closepath p .427 .364 .684 r
F P
0 g
s
.74642 .18856 m .79949 .24499 L .52632 .86433 L closepath p .893 .738 .682 r
F P
0 g
s
.29576 .19685 m .37146 .15181 L .52632 .86433 L closepath p .548 .434 .675 r
F P
0 g
s
.66695 .14627 m .74642 .18856 L .52632 .86433 L closepath p .826 .658 .674 r
F P
0 g
s
.37146 .15181 m .46667 .12631 L .52632 .86433 L closepath p .632 .489 .669 r
F P
0 g
s
.56963 .12436 m .66695 .14627 L .52632 .86433 L closepath p .763 .595 .669 r
F P
0 g
s
.46667 .12631 m .56963 .12436 L .52632 .86433 L closepath p .701 .54 .667 r
F P
0 g
s
% End of Graphics
MathPictureEnd
\
\>"], "Graphics",
 ImageSize->{178.625, 193.875},
 ImageMargins->{{64, 0}, {0, 0}},
 ImageRegion->{{-0.252314, 1.20295}, {-0.134615, 
  1.25}},ImageCache->GraphicsData["CompressedBitmap", "\<\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\
\>"],ImageRangeCache->{{{-45.0625, 213.875}, {218.938, -48.4375}} -> {0., 0., \
0., 0.}},ExpressionUUID->"328d1312-31c5-4318-b183-53ca02d172fa"],

Cell[BoxData["\<\"Phosphine:MathOzTeX:live:cone.m\"\>"], "Output",ExpressionUUID->"02656817-c388-446f-ae62-33cdde0698c7"]
}, Open  ]]
}, Closed]],

Cell[CellGroupData[{

Cell["ParametricPlot3D", "Subsection",ExpressionUUID->"12d5811a-6d31-4cd1-9a46-43c2bc343d9f"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"ParametricPlot3D", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"z", "  ", 
      RowBox[{"Cos", "[", "\[Theta]", "]"}]}], ",", 
     RowBox[{"z", "  ", 
      RowBox[{"Sin", "[", "\[Theta]", "]"}]}], ",", "z"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"\[Theta]", ",", "0", ",", 
     RowBox[{"2", "Pi"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"z", ",", 
     RowBox[{"-", "1"}], ",", "0"}], "}"}], ",", 
   RowBox[{"Boxed", "\[Rule]", "False"}], ",", 
   RowBox[{"Axes", "\[Rule]", "False"}]}], "]"}]], "Input",ExpressionUUID->\
"88491eb0-85fd-4db4-89e7-fa6143262c41"],

Cell[GraphicsData["PostScript", "\<\
%!
%%Creator: Mathematica
%%AspectRatio: .86157 
MathPictureStart
/Mabs {
Mgmatrix idtransform
Mtmatrix dtransform
} bind def
/Mabsadd { Mabs
3 -1 roll add
3 1 roll add
exch } bind def
%% Graphics3D
%%IncludeResource: font Courier
%%IncludeFont: Courier
/Courier findfont 10  scalefont  setfont
% Scaling calculations
1.11022e-16 1.05044 -0.0437931 1.05044 [
[ 0 0 0 0 ]
[ 1 .86157 0 0 ]
] MathScale
% Start of Graphics
1 setlinecap
1 setlinejoin
newpath
0 0 m
1 0 L
1 .86157 L
0 .86157 L
closepath
clip
newpath
.5 Mabswid
[ ] 0 setdash
.41421 .52595 m .50406 .53891 L .50299 .53505 L p .491 0 0 r
F P
0 g
s
.50299 .53505 m .40895 .52146 L .41421 .52595 L p .491 0 0 r
F P
0 g
s
.59889 .53048 m .50299 .53505 L .50406 .53891 L p .374 0 0 r
F P
0 g
s
.50406 .53891 m .59573 .53455 L .59889 .53048 L p .374 0 0 r
F P
0 g
s
.68921 .50794 m .59889 .53048 L .59573 .53455 L p .16 0 0 r
F P
0 g
s
.33346 .49631 m .41421 .52595 L .40895 .52146 L p .514 0 0 r
F P
0 g
s
.40895 .52146 m .32429 .49034 L .33346 .49631 L p .514 0 0 r
F P
0 g
s
.41955 .53052 m .50515 .54284 L .50406 .53891 L p .491 0 0 r
F P
0 g
s
.50406 .53891 m .41421 .52595 L .41955 .53052 L p .491 0 0 r
F P
0 g
s
.59573 .53455 m .50406 .53891 L .50515 .54284 L p .374 0 0 r
F P
0 g
s
.50515 .54284 m .59252 .53869 L .59573 .53455 L p .374 0 0 r
F P
0 g
s
.68197 .51307 m .59573 .53455 L .59252 .53869 L p .16 0 0 r
F P
0 g
s
.59573 .53455 m .68197 .51307 L .68921 .50794 L p .16 0 0 r
F P
0 g
s
.76637 .46858 m .68921 .50794 L .68197 .51307 L p 0 0 0 r
F P
0 g
s
.34278 .50238 m .41955 .53052 L .41421 .52595 L p .514 0 0 r
F P
0 g
s
.41421 .52595 m .33346 .49631 L .34278 .50238 L p .514 0 0 r
F P
0 g
s
.425 .53517 m .50626 .54684 L .50515 .54284 L p .491 0 0 r
F P
0 g
s
.50515 .54284 m .41955 .53052 L .425 .53517 L p .491 0 0 r
F P
0 g
s
.59252 .53869 m .50515 .54284 L .50626 .54684 L p .374 0 0 r
F P
0 g
s
.50626 .54684 m .58924 .54291 L .59252 .53869 L p .374 0 0 r
F P
0 g
s
.67461 .51828 m .59252 .53869 L .58924 .54291 L p .16 0 0 r
F P
0 g
s
.59252 .53869 m .67461 .51828 L .68197 .51307 L p .16 0 0 r
F P
0 g
s
.75544 .47562 m .68197 .51307 L .67461 .51828 L p 0 0 0 r
F P
0 g
s
.68197 .51307 m .75544 .47562 L .76637 .46858 L p 0 0 0 r
F P
0 g
s
.35224 .50855 m .425 .53517 L .41955 .53052 L p .514 0 0 r
F P
0 g
s
.41955 .53052 m .34278 .50238 L .35224 .50855 L p .514 0 0 r
F P
0 g
s
.2692 .45168 m .33346 .49631 L .32429 .49034 L p 0 .178 .616 r
F P
0 g
s
.32429 .49034 m .25666 .44338 L .2692 .45168 L p 0 .178 .616 r
F P
0 g
s
.43053 .5399 m .5074 .55091 L .50626 .54684 L p .491 0 0 r
F P
0 g
s
.50626 .54684 m .425 .53517 L .43053 .5399 L p .491 0 0 r
F P
0 g
s
.58924 .54291 m .50626 .54684 L .5074 .55091 L p .374 0 0 r
F P
0 g
s
.5074 .55091 m .5859 .5472 L .58924 .54291 L p .374 0 0 r
F P
0 g
s
.66713 .52359 m .58924 .54291 L .5859 .5472 L p .16 0 0 r
F P
0 g
s
.58924 .54291 m .66713 .52359 L .67461 .51828 L p .16 0 0 r
F P
0 g
s
.74436 .48276 m .67461 .51828 L .66713 .52359 L p 0 0 0 r
F P
0 g
s
.67461 .51828 m .74436 .48276 L .75544 .47562 L p 0 0 0 r
F P
0 g
s
.2819 .46009 m .34278 .50238 L .33346 .49631 L p 0 .178 .616 r
F P
0 g
s
.33346 .49631 m .2692 .45168 L .2819 .46009 L p 0 .178 .616 r
F P
0 g
s
.36186 .51481 m .43053 .5399 L .425 .53517 L p .514 0 0 r
F P
0 g
s
.425 .53517 m .35224 .50855 L .36186 .51481 L p .514 0 0 r
F P
0 g
s
.43617 .54472 m .50855 .55506 L .5074 .55091 L p .491 0 0 r
F P
0 g
s
.5074 .55091 m .43053 .5399 L .43617 .54472 L p .491 0 0 r
F P
0 g
s
.5859 .5472 m .5074 .55091 L .50855 .55506 L p .374 0 0 r
F P
0 g
s
.82267 .4147 m .76637 .46858 L .75544 .47562 L p .639 .948 .734 r
F P
0 g
s
.50855 .55506 m .58251 .55158 L .5859 .5472 L p .374 0 0 r
F P
0 g
s
.65951 .52898 m .5859 .5472 L .58251 .55158 L p .16 0 0 r
F P
0 g
s
.5859 .5472 m .65951 .52898 L .66713 .52359 L p .16 0 0 r
F P
0 g
s
.73311 .49001 m .66713 .52359 L .65951 .52898 L p 0 0 0 r
F P
0 g
s
.66713 .52359 m .73311 .49001 L .74436 .48276 L p 0 0 0 r
F P
0 g
s
.29478 .46862 m .35224 .50855 L .34278 .50238 L p 0 .178 .616 r
F P
0 g
s
.34278 .50238 m .2819 .46009 L .29478 .46862 L p 0 .178 .616 r
F P
0 g
s
.37163 .52118 m .43617 .54472 L .43053 .5399 L p .514 0 0 r
F P
0 g
s
.43053 .5399 m .36186 .51481 L .37163 .52118 L p .514 0 0 r
F P
0 g
s
.80878 .42448 m .75544 .47562 L .74436 .48276 L p .639 .948 .734 r
F P
0 g
s
.75544 .47562 m .80878 .42448 L .82267 .4147 L p .639 .948 .734 r
F P
0 g
s
.44191 .54962 m .50973 .55929 L .50855 .55506 L p .491 0 0 r
F P
0 g
s
.50855 .55506 m .43617 .54472 L .44191 .54962 L p .491 0 0 r
F P
0 g
s
.58251 .55158 m .50855 .55506 L .50973 .55929 L p .374 0 0 r
F P
0 g
s
.50973 .55929 m .57904 .55603 L .58251 .55158 L p .374 0 0 r
F P
0 g
s
.65176 .53447 m .58251 .55158 L .57904 .55603 L p .16 0 0 r
F P
0 g
s
.58251 .55158 m .65176 .53447 L .65951 .52898 L p .16 0 0 r
F P
0 g
s
.72169 .49737 m .65951 .52898 L .65176 .53447 L p 0 0 0 r
F P
0 g
s
.65951 .52898 m .72169 .49737 L .73311 .49001 L p 0 0 0 r
F P
0 g
s
.30783 .47726 m .36186 .51481 L .35224 .50855 L p 0 .178 .616 r
F P
0 g
s
.35224 .50855 m .29478 .46862 L .30783 .47726 L p 0 .178 .616 r
F P
0 g
s
.38157 .52765 m .44191 .54962 L .43617 .54472 L p .514 0 0 r
F P
0 g
s
.43617 .54472 m .37163 .52118 L .38157 .52765 L p .514 0 0 r
F P
0 g
s
.22866 .39505 m .2692 .45168 L .25666 .44338 L p 0 .321 .808 r
F P
0 g
s
.25666 .44338 m .21367 .38363 L .22866 .39505 L p 0 .321 .808 r
F P
0 g
s
.79472 .43438 m .74436 .48276 L .73311 .49001 L p .639 .948 .734 r
F P
0 g
s
.74436 .48276 m .79472 .43438 L .80878 .42448 L p .639 .948 .734 r
F P
0 g
s
.44776 .55462 m .51092 .5636 L .50973 .55929 L p .491 0 0 r
F P
0 g
s
.50973 .55929 m .44191 .54962 L .44776 .55462 L p .491 0 0 r
F P
0 g
s
.57904 .55603 m .50973 .55929 L .51092 .5636 L p .374 0 0 r
F P
0 g
s
.51092 .5636 m .57552 .56057 L .57904 .55603 L p .374 0 0 r
F P
0 g
s
.64388 .54005 m .57904 .55603 L .57552 .56057 L p .16 0 0 r
F P
0 g
s
.57904 .55603 m .64388 .54005 L .65176 .53447 L p .16 0 0 r
F P
0 g
s
.32106 .48603 m .37163 .52118 L .36186 .51481 L p 0 .178 .616 r
F P
0 g
s
.36186 .51481 m .30783 .47726 L .32106 .48603 L p 0 .178 .616 r
F P
0 g
s
.7101 .50483 m .65176 .53447 L .64388 .54005 L p 0 0 0 r
F P
0 g
s
.65176 .53447 m .7101 .50483 L .72169 .49737 L p 0 0 0 r
F P
0 g
s
.2438 .40659 m .2819 .46009 L .2692 .45168 L p 0 .321 .808 r
F P
0 g
s
.2692 .45168 m .22866 .39505 L .2438 .40659 L p 0 .321 .808 r
F P
0 g
s
.7805 .44439 m .73311 .49001 L .72169 .49737 L p .639 .948 .734 r
F P
0 g
s
.73311 .49001 m .7805 .44439 L .79472 .43438 L p .639 .948 .734 r
F P
0 g
s
.39166 .53423 m .44776 .55462 L .44191 .54962 L p .514 0 0 r
F P
0 g
s
.44191 .54962 m .38157 .52765 L .39166 .53423 L p .514 0 0 r
F P
0 g
s
.45371 .55971 m .51215 .568 L .51092 .5636 L p .491 0 0 r
F P
0 g
s
.51092 .5636 m .44776 .55462 L .45371 .55971 L p .491 0 0 r
F P
0 g
s
.57552 .56057 m .51092 .5636 L .51215 .568 L p .374 0 0 r
F P
0 g
s
.33448 .49491 m .38157 .52765 L .37163 .52118 L p 0 .178 .616 r
F P
0 g
s
.37163 .52118 m .32106 .48603 L .33448 .49491 L p 0 .178 .616 r
F P
0 g
s
.25911 .41825 m .29478 .46862 L .2819 .46009 L p 0 .321 .808 r
F P
0 g
s
.2819 .46009 m .2438 .40659 L .25911 .41825 L p 0 .321 .808 r
F P
0 g
s
.51215 .568 m .57192 .5652 L .57552 .56057 L p .374 0 0 r
F P
0 g
s
.63586 .54573 m .57552 .56057 L .57192 .5652 L p .16 0 0 r
F P
0 g
s
.57552 .56057 m .63586 .54573 L .64388 .54005 L p .16 0 0 r
F P
0 g
s
.69834 .51242 m .64388 .54005 L .63586 .54573 L p 0 0 0 r
F P
0 g
s
.64388 .54005 m .69834 .51242 L .7101 .50483 L p 0 0 0 r
F P
0 g
s
.7661 .45452 m .72169 .49737 L .7101 .50483 L p .639 .948 .734 r
F P
0 g
s
.72169 .49737 m .7661 .45452 L .7805 .44439 L p .639 .948 .734 r
F P
0 g
s
.85072 .35023 m .82267 .4147 L .80878 .42448 L p .868 .988 .833 r
F P
0 g
s
.40193 .54092 m .45371 .55971 L .44776 .55462 L p .514 0 0 r
F P
0 g
s
.44776 .55462 m .39166 .53423 L .40193 .54092 L p .514 0 0 r
F P
0 g
s
.27457 .43003 m .30783 .47726 L .29478 .46862 L p 0 .321 .808 r
F P
0 g
s
.29478 .46862 m .25911 .41825 L .27457 .43003 L p 0 .321 .808 r
F P
0 g
s
.34808 .50391 m .39166 .53423 L .38157 .52765 L p 0 .178 .616 r
F P
0 g
s
.38157 .52765 m .33448 .49491 L .34808 .50391 L p 0 .178 .616 r
F P
0 g
s
.835 .36348 m .80878 .42448 L .79472 .43438 L p .868 .988 .833 r
F P
0 g
s
.80878 .42448 m .835 .36348 L .85072 .35023 L p .868 .988 .833 r
F P
0 g
s
.45978 .56489 m .51339 .57248 L .51215 .568 L p .491 0 0 r
F P
0 g
s
.51215 .568 m .45371 .55971 L .45978 .56489 L p .491 0 0 r
F P
0 g
s
.57192 .5652 m .51215 .568 L .51339 .57248 L p .374 0 0 r
F P
0 g
s
.75153 .46478 m .7101 .50483 L .69834 .51242 L p .639 .948 .734 r
F P
0 g
s
.7101 .50483 m .75153 .46478 L .7661 .45452 L p .639 .948 .734 r
F P
0 g
s
.57192 .5652 m .6277 .55152 L .63586 .54573 L p .16 0 0 r
F P
0 g
s
.68639 .52011 m .63586 .54573 L .6277 .55152 L p 0 0 0 r
F P
0 g
s
.63586 .54573 m .68639 .52011 L .69834 .51242 L p 0 0 0 r
F P
0 g
s
.51339 .57248 m .56826 .56992 L .57192 .5652 L p .374 0 0 r
F P
0 g
s
.6277 .55152 m .57192 .5652 L .56826 .56992 L p .16 0 0 r
F P
0 g
s
.29019 .44193 m .32106 .48603 L .30783 .47726 L p 0 .321 .808 r
F P
0 g
s
.30783 .47726 m .27457 .43003 L .29019 .44193 L p 0 .321 .808 r
F P
0 g
s
.41237 .54772 m .45978 .56489 L .45371 .55971 L p .514 0 0 r
F P
0 g
s
.45371 .55971 m .40193 .54092 L .41237 .54772 L p .514 0 0 r
F P
0 g
s
.81914 .37683 m .79472 .43438 L .7805 .44439 L p .868 .988 .833 r
F P
0 g
s
.79472 .43438 m .81914 .37683 L .835 .36348 L p .868 .988 .833 r
F P
0 g
s
.36187 .51305 m .40193 .54092 L .39166 .53423 L p 0 .178 .616 r
F P
0 g
s
.39166 .53423 m .34808 .50391 L .36187 .51305 L p 0 .178 .616 r
F P
0 g
s
.73679 .47516 m .69834 .51242 L .68639 .52011 L p .639 .948 .734 r
F P
0 g
s
.69834 .51242 m .73679 .47516 L .75153 .46478 L p .639 .948 .734 r
F P
0 g
s
.46596 .57017 m .51466 .57705 L .51339 .57248 L p .491 0 0 r
F P
0 g
s
.51339 .57248 m .45978 .56489 L .46596 .57017 L p .491 0 0 r
F P
0 g
s
.56826 .56992 m .51339 .57248 L .51466 .57705 L p .374 0 0 r
F P
0 g
s
.56826 .56992 m .61939 .5574 L .6277 .55152 L p .16 0 0 r
F P
0 g
s
.67426 .52793 m .6277 .55152 L .61939 .5574 L p 0 0 0 r
F P
0 g
s
.6277 .55152 m .67426 .52793 L .68639 .52011 L p 0 0 0 r
F P
0 g
s
.21828 .33111 m .22866 .39505 L .21367 .38363 L p .242 .411 .831 r
F P
0 g
s
.21367 .38363 m .2022 .31594 L .21828 .33111 L p .242 .411 .831 r
F P
0 g
s
.51466 .57705 m .56452 .57473 L .56826 .56992 L p .374 0 0 r
F P
0 g
s
.61939 .5574 m .56826 .56992 L .56452 .57473 L p .16 0 0 r
F P
0 g
s
.30598 .45396 m .33448 .49491 L .32106 .48603 L p 0 .321 .808 r
F P
0 g
s
.32106 .48603 m .29019 .44193 L .30598 .45396 L p 0 .321 .808 r
F P
0 g
s
.80315 .3903 m .7805 .44439 L .7661 .45452 L p .868 .988 .833 r
F P
0 g
s
.7805 .44439 m .80315 .3903 L .81914 .37683 L p .868 .988 .833 r
F P
0 g
s
.42299 .55464 m .46596 .57017 L .45978 .56489 L p .514 0 0 r
F P
0 g
s
.45978 .56489 m .41237 .54772 L .42299 .55464 L p .514 0 0 r
F P
0 g
s
.72186 .48567 m .68639 .52011 L .67426 .52793 L p .639 .948 .734 r
F P
0 g
s
.68639 .52011 m .72186 .48567 L .73679 .47516 L p .639 .948 .734 r
F P
0 g
s
.23447 .34638 m .2438 .40659 L .22866 .39505 L p .242 .411 .831 r
F P
0 g
s
.22866 .39505 m .21828 .33111 L .23447 .34638 L p .242 .411 .831 r
F P
0 g
s
.37585 .52231 m .41237 .54772 L .40193 .54092 L p 0 .178 .616 r
F P
0 g
s
.40193 .54092 m .36187 .51305 L .37585 .52231 L p 0 .178 .616 r
F P
0 g
s
.78702 .40389 m .7661 .45452 L .75153 .46478 L p .868 .988 .833 r
F P
0 g
s
.7661 .45452 m .78702 .40389 L .80315 .3903 L p .868 .988 .833 r
F P
0 g
s
.32193 .46611 m .34808 .50391 L .33448 .49491 L p 0 .321 .808 r
F P
0 g
s
.33448 .49491 m .30598 .45396 L .32193 .46611 L p 0 .321 .808 r
F P
0 g
s
.56452 .57473 m .61093 .56339 L .61939 .5574 L p .16 0 0 r
F P
0 g
s
.66194 .53587 m .61939 .5574 L .61093 .56339 L p 0 0 0 r
F P
0 g
s
.61939 .5574 m .66194 .53587 L .67426 .52793 L p 0 0 0 r
F P
0 g
s
.47226 .57556 m .51596 .58171 L .51466 .57705 L p .491 0 0 r
F P
0 g
s
.51466 .57705 m .46596 .57017 L .47226 .57556 L p .491 0 0 r
F P
0 g
s
.56452 .57473 m .51466 .57705 L .51596 .58171 L p .374 0 0 r
F P
0 g
s
.51596 .58171 m .56072 .57963 L .56452 .57473 L p .374 0 0 r
F P
0 g
s
.61093 .56339 m .56452 .57473 L .56072 .57963 L p .16 0 0 r
F P
0 g
s
.25077 .36175 m .25911 .41825 L .2438 .40659 L p .242 .411 .831 r
F P
0 g
s
.2438 .40659 m .23447 .34638 L .25077 .36175 L p .242 .411 .831 r
F P
0 g
s
.43379 .56167 m .47226 .57556 L .46596 .57017 L p .514 0 0 r
F P
0 g
s
.46596 .57017 m .42299 .55464 L .43379 .56167 L p .514 0 0 r
F P
0 g
s
.70675 .49631 m .67426 .52793 L .66194 .53587 L p .639 .948 .734 r
F P
0 g
s
.67426 .52793 m .70675 .49631 L .72186 .48567 L p .639 .948 .734 r
F P
0 g
s
.77075 .41759 m .75153 .46478 L .73679 .47516 L p .868 .988 .833 r
F P
0 g
s
.75153 .46478 m .77075 .41759 L .78702 .40389 L p .868 .988 .833 r
F P
0 g
s
.39003 .5317 m .42299 .55464 L .41237 .54772 L p 0 .178 .616 r
F P
0 g
s
.41237 .54772 m .37585 .52231 L .39003 .5317 L p 0 .178 .616 r
F P
0 g
s
.33805 .4784 m .36187 .51305 L .34808 .50391 L p 0 .321 .808 r
F P
0 g
s
.34808 .50391 m .32193 .46611 L .33805 .4784 L p 0 .321 .808 r
F P
0 g
s
.26718 .37723 m .27457 .43003 L .25911 .41825 L p .242 .411 .831 r
F P
0 g
s
.25911 .41825 m .25077 .36175 L .26718 .37723 L p .242 .411 .831 r
F P
0 g
s
.56072 .57963 m .60232 .56949 L .61093 .56339 L p .16 0 0 r
F P
0 g
s
.64943 .54393 m .61093 .56339 L .60232 .56949 L p 0 0 0 r
F P
0 g
s
.61093 .56339 m .64943 .54393 L .66194 .53587 L p 0 0 0 r
F P
0 g
s
.84449 .28102 m .85072 .35023 L .835 .36348 L p .898 .895 .816 r
F P
0 g
s
.47868 .58104 m .51728 .58646 L .51596 .58171 L p .491 0 0 r
F P
0 g
s
.51596 .58171 m .47226 .57556 L .47868 .58104 L p .491 0 0 r
F P
0 g
s
.56072 .57963 m .51596 .58171 L .51728 .58646 L p .374 0 0 r
F P
0 g
s
.75434 .43141 m .73679 .47516 L .72186 .48567 L p .868 .988 .833 r
F P
0 g
s
.73679 .47516 m .75434 .43141 L .77075 .41759 L p .868 .988 .833 r
F P
0 g
s
.51728 .58646 m .55683 .58463 L .56072 .57963 L p .374 0 0 r
F P
0 g
s
.60232 .56949 m .56072 .57963 L .55683 .58463 L p .16 0 0 r
F P
0 g
s
.69145 .50708 m .66194 .53587 L .64943 .54393 L p .639 .948 .734 r
F P
0 g
s
.66194 .53587 m .69145 .50708 L .70675 .49631 L p .639 .948 .734 r
F P
0 g
s
.2837 .39281 m .29019 .44193 L .27457 .43003 L p .242 .411 .831 r
F P
0 g
s
.27457 .43003 m .26718 .37723 L .2837 .39281 L p .242 .411 .831 r
F P
0 g
s
.35434 .49081 m .37585 .52231 L .36187 .51305 L p 0 .321 .808 r
F P
0 g
s
.36187 .51305 m .33805 .4784 L .35434 .49081 L p 0 .321 .808 r
F P
0 g
s
.40442 .54122 m .43379 .56167 L .42299 .55464 L p 0 .178 .616 r
F P
0 g
s
.42299 .55464 m .39003 .5317 L .40442 .54122 L p 0 .178 .616 r
F P
0 g
s
.44477 .56883 m .47868 .58104 L .47226 .57556 L p .514 0 0 r
F P
0 g
s
.47226 .57556 m .43379 .56167 L .44477 .56883 L p .514 0 0 r
F P
0 g
s
.82853 .29821 m .835 .36348 L .81914 .37683 L p .898 .895 .816 r
F P
0 g
s
.835 .36348 m .82853 .29821 L .84449 .28102 L p .898 .895 .816 r
F P
0 g
s
.73779 .44535 m .72186 .48567 L .70675 .49631 L p .868 .988 .833 r
F P
0 g
s
.72186 .48567 m .73779 .44535 L .75434 .43141 L p .868 .988 .833 r
F P
0 g
s
.30033 .4085 m .30598 .45396 L .29019 .44193 L p .242 .411 .831 r
F P
0 g
s
.29019 .44193 m .2837 .39281 L .30033 .4085 L p .242 .411 .831 r
F P
0 g
s
.55683 .58463 m .59355 .57571 L .60232 .56949 L p .16 0 0 r
F P
0 g
s
.63672 .55212 m .60232 .56949 L .59355 .57571 L p 0 0 0 r
F P
0 g
s
.60232 .56949 m .63672 .55212 L .64943 .54393 L p 0 0 0 r
F P
0 g
s
.81249 .31549 m .81914 .37683 L .80315 .3903 L p .898 .895 .816 r
F P
0 g
s
.81914 .37683 m .81249 .31549 L .82853 .29821 L p .898 .895 .816 r
F P
0 g
s
.67596 .51798 m .64943 .54393 L .63672 .55212 L p .639 .948 .734 r
F P
0 g
s
.64943 .54393 m .67596 .51798 L .69145 .50708 L p .639 .948 .734 r
F P
0 g
s
.48522 .58663 m .51863 .59131 L .51728 .58646 L p .491 0 0 r
F P
0 g
s
.51728 .58646 m .47868 .58104 L .48522 .58663 L p .491 0 0 r
F P
0 g
s
.55683 .58463 m .51728 .58646 L .51863 .59131 L p .374 0 0 r
F P
0 g
s
.37081 .50335 m .39003 .5317 L .37585 .52231 L p 0 .321 .808 r
F P
0 g
s
.37585 .52231 m .35434 .49081 L .37081 .50335 L p 0 .321 .808 r
F P
0 g
s
.51863 .59131 m .55287 .58973 L .55683 .58463 L p .374 0 0 r
F P
0 g
s
.59355 .57571 m .55683 .58463 L .55287 .58973 L p .16 0 0 r
F P
0 g
s
.41901 .55088 m .44477 .56883 L .43379 .56167 L p 0 .178 .616 r
F P
0 g
s
.43379 .56167 m .40442 .54122 L .41901 .55088 L p 0 .178 .616 r
F P
0 g
s
.79637 .33284 m .80315 .3903 L .78702 .40389 L p .898 .895 .816 r
F P
0 g
s
.80315 .3903 m .79637 .33284 L .81249 .31549 L p .898 .895 .816 r
F P
0 g
s
.31708 .4243 m .32193 .46611 L .30598 .45396 L p .242 .411 .831 r
F P
0 g
s
.30598 .45396 m .30033 .4085 L .31708 .4243 L p .242 .411 .831 r
F P
0 g
s
.72109 .45942 m .70675 .49631 L .69145 .50708 L p .868 .988 .833 r
F P
0 g
s
.70675 .49631 m .72109 .45942 L .73779 .44535 L p .868 .988 .833 r
F P
0 g
s
.45595 .57611 m .48522 .58663 L .47868 .58104 L p .514 0 0 r
F P
0 g
s
.47868 .58104 m .44477 .56883 L .45595 .57611 L p .514 0 0 r
F P
0 g
s
.55287 .58973 m .58462 .58203 L .59355 .57571 L p .16 0 0 r
F P
0 g
s
.62381 .56044 m .59355 .57571 L .58462 .58203 L p 0 0 0 r
F P
0 g
s
.59355 .57571 m .62381 .56044 L .63672 .55212 L p 0 0 0 r
F P
0 g
s
.78018 .35029 m .78702 .40389 L .77075 .41759 L p .898 .895 .816 r
F P
0 g
s
.78702 .40389 m .78018 .35029 L .79637 .33284 L p .898 .895 .816 r
F P
0 g
s
.38745 .51604 m .40442 .54122 L .39003 .5317 L p 0 .321 .808 r
F P
0 g
s
.39003 .5317 m .37081 .50335 L .38745 .51604 L p 0 .321 .808 r
F P
0 g
s
.2424 .26638 m .21828 .33111 L .2022 .31594 L p .416 .462 .8 r
F P
0 g
s
.2022 .31594 m .22704 .24717 L .2424 .26638 L p .416 .462 .8 r
F P
0 g
s
.66028 .52902 m .63672 .55212 L .62381 .56044 L p .639 .948 .734 r
F P
0 g
s
.63672 .55212 m .66028 .52902 L .67596 .51798 L p .639 .948 .734 r
F P
0 g
s
.33394 .4402 m .33805 .4784 L .32193 .46611 L p .242 .411 .831 r
F P
0 g
s
.32193 .46611 m .31708 .4243 L .33394 .4402 L p .242 .411 .831 r
F P
0 g
s
.70425 .4736 m .69145 .50708 L .67596 .51798 L p .868 .988 .833 r
F P
0 g
s
.69145 .50708 m .70425 .4736 L .72109 .45942 L p .868 .988 .833 r
F P
0 g
s
.4919 .59234 m .52 .59626 L .51863 .59131 L p .491 0 0 r
F P
0 g
s
.51863 .59131 m .48522 .58663 L .4919 .59234 L p .491 0 0 r
F P
0 g
s
.55287 .58973 m .51863 .59131 L .52 .59626 L p .374 0 0 r
F P
0 g
s
.43381 .56069 m .45595 .57611 L .44477 .56883 L p 0 .178 .616 r
F P
0 g
s
.44477 .56883 m .41901 .55088 L .43381 .56069 L p 0 .178 .616 r
F P
0 g
s
.7639 .36782 m .77075 .41759 L .75434 .43141 L p .898 .895 .816 r
F P
0 g
s
.77075 .41759 m .7639 .36782 L .78018 .35029 L p .898 .895 .816 r
F P
0 g
s
.2578 .28564 m .23447 .34638 L .21828 .33111 L p .416 .462 .8 r
F P
0 g
s
.21828 .33111 m .2424 .26638 L .2578 .28564 L p .416 .462 .8 r
F P
0 g
s
.52 .59626 m .54883 .59493 L .55287 .58973 L p .374 0 0 r
F P
0 g
s
.58462 .58203 m .55287 .58973 L .54883 .59493 L p .16 0 0 r
F P
0 g
s
.46732 .58352 m .4919 .59234 L .48522 .58663 L p .514 0 0 r
F P
0 g
s
.48522 .58663 m .45595 .57611 L .46732 .58352 L p .514 0 0 r
F P
0 g
s
.35092 .45621 m .35434 .49081 L .33805 .4784 L p .242 .411 .831 r
F P
0 g
s
.33805 .4784 m .33394 .4402 L .35092 .45621 L p .242 .411 .831 r
F P
0 g
s
.40427 .52885 m .41901 .55088 L .40442 .54122 L p 0 .321 .808 r
F P
0 g
s
.40442 .54122 m .38745 .51604 L .40427 .52885 L p 0 .321 .808 r
F P
0 g
s
.27326 .30497 m .25077 .36175 L .23447 .34638 L p .416 .462 .8 r
F P
0 g
s
.23447 .34638 m .2578 .28564 L .27326 .30497 L p .416 .462 .8 r
F P
0 g
s
.74755 .38543 m .75434 .43141 L .73779 .44535 L p .898 .895 .816 r
F P
0 g
s
.75434 .43141 m .74755 .38543 L .7639 .36782 L p .898 .895 .816 r
F P
0 g
s
.68726 .48791 m .67596 .51798 L .66028 .52902 L p .868 .988 .833 r
F P
0 g
s
.67596 .51798 m .68726 .48791 L .70425 .4736 L p .868 .988 .833 r
F P
0 g
s
.58462 .58203 m .61069 .5689 L .62381 .56044 L p 0 0 0 r
F P
0 g
s
.64439 .5402 m .62381 .56044 L .61069 .5689 L p .639 .948 .734 r
F P
0 g
s
.62381 .56044 m .64439 .5402 L .66028 .52902 L p .639 .948 .734 r
F P
0 g
s
.54883 .59493 m .57551 .58848 L .58462 .58203 L p .16 0 0 r
F P
0 g
s
.61069 .5689 m .58462 .58203 L .57551 .58848 L p 0 0 0 r
F P
0 g
s
.28877 .32435 m .26718 .37723 L .25077 .36175 L p .416 .462 .8 r
F P
0 g
s
.25077 .36175 m .27326 .30497 L .28877 .32435 L p .416 .462 .8 r
F P
0 g
s
.36801 .47234 m .37081 .50335 L .35434 .49081 L p .242 .411 .831 r
F P
0 g
s
.35434 .49081 m .35092 .45621 L .36801 .47234 L p .242 .411 .831 r
F P
0 g
s
.44883 .57063 m .46732 .58352 L .45595 .57611 L p 0 .178 .616 r
F P
0 g
s
.45595 .57611 m .43381 .56069 L .44883 .57063 L p 0 .178 .616 r
F P
0 g
s
.73111 .40313 m .73779 .44535 L .72109 .45942 L p .898 .895 .816 r
F P
0 g
s
.73779 .44535 m .73111 .40313 L .74755 .38543 L p .898 .895 .816 r
F P
0 g
s
.4987 .59815 m .52141 .60131 L .52 .59626 L p .491 0 0 r
F P
0 g
s
.52 .59626 m .4919 .59234 L .4987 .59815 L p .491 0 0 r
F P
0 g
s
.54883 .59493 m .52 .59626 L .52141 .60131 L p .374 0 0 r
F P
0 g
s
.30432 .3438 m .2837 .39281 L .26718 .37723 L p .416 .462 .8 r
F P
0 g
s
.26718 .37723 m .28877 .32435 L .30432 .3438 L p .416 .462 .8 r
F P
0 g
s
.52141 .60131 m .5447 .60024 L .54883 .59493 L p .374 0 0 r
F P
0 g
s
.57551 .58848 m .54883 .59493 L .5447 .60024 L p .16 0 0 r
F P
0 g
s
.42128 .54181 m .43381 .56069 L .41901 .55088 L p 0 .321 .808 r
F P
0 g
s
.41901 .55088 m .40427 .52885 L .42128 .54181 L p 0 .321 .808 r
F P
0 g
s
.67012 .50235 m .66028 .52902 L .64439 .5402 L p .868 .988 .833 r
F P
0 g
s
.66028 .52902 m .67012 .50235 L .68726 .48791 L p .868 .988 .833 r
F P
0 g
s
.4789 .59106 m .4987 .59815 L .4919 .59234 L p .514 0 0 r
F P
0 g
s
.4919 .59234 m .46732 .58352 L .4789 .59106 L p .514 0 0 r
F P
0 g
s
.57551 .58848 m .59736 .57749 L .61069 .5689 L p 0 0 0 r
F P
0 g
s
.62831 .55153 m .61069 .5689 L .59736 .57749 L p .639 .948 .734 r
F P
0 g
s
.61069 .5689 m .62831 .55153 L .64439 .5402 L p .639 .948 .734 r
F P
0 g
s
.38522 .48857 m .38745 .51604 L .37081 .50335 L p .242 .411 .831 r
F P
0 g
s
.37081 .50335 m .36801 .47234 L .38522 .48857 L p .242 .411 .831 r
F P
0 g
s
.71459 .42093 m .72109 .45942 L .70425 .4736 L p .898 .895 .816 r
F P
0 g
s
.72109 .45942 m .71459 .42093 L .73111 .40313 L p .898 .895 .816 r
F P
0 g
s
.31992 .3633 m .30033 .4085 L .2837 .39281 L p .416 .462 .8 r
F P
0 g
s
.2837 .39281 m .30432 .3438 L .31992 .3633 L p .416 .462 .8 r
F P
0 g
s
.5447 .60024 m .56624 .59505 L .57551 .58848 L p .16 0 0 r
F P
0 g
s
.59736 .57749 m .57551 .58848 L .56624 .59505 L p 0 0 0 r
F P
0 g
s
.80094 .21488 m .84449 .28102 L .82853 .29821 L p .865 .799 .784 r
F P
0 g
s
.65282 .51692 m .64439 .5402 L .62831 .55153 L p .868 .988 .833 r
F P
0 g
s
.64439 .5402 m .65282 .51692 L .67012 .50235 L p .868 .988 .833 r
F P
0 g
s
.33557 .38287 m .31708 .4243 L .30033 .4085 L p .416 .462 .8 r
F P
0 g
s
.30033 .4085 m .31992 .3633 L .33557 .38287 L p .416 .462 .8 r
F P
0 g
s
.46407 .58072 m .4789 .59106 L .46732 .58352 L p 0 .178 .616 r
F P
0 g
s
.46732 .58352 m .44883 .57063 L .46407 .58072 L p 0 .178 .616 r
F P
0 g
s
.78673 .23606 m .82853 .29821 L .81249 .31549 L p .865 .799 .784 r
F P
0 g
s
.82853 .29821 m .78673 .23606 L .80094 .21488 L p .865 .799 .784 r
F P
0 g
s
.69799 .4388 m .70425 .4736 L .68726 .48791 L p .898 .895 .816 r
F P
0 g
s
.70425 .4736 m .69799 .4388 L .71459 .42093 L p .898 .895 .816 r
F P
0 g
s
.43847 .55491 m .44883 .57063 L .43381 .56069 L p 0 .321 .808 r
F P
0 g
s
.43381 .56069 m .42128 .54181 L .43847 .55491 L p 0 .321 .808 r
F P
0 g
s
.40255 .50492 m .40427 .52885 L .38745 .51604 L p .242 .411 .831 r
F P
0 g
s
.38745 .51604 m .38522 .48857 L .40255 .50492 L p .242 .411 .831 r
F P
0 g
s
.7725 .25727 m .81249 .31549 L .79637 .33284 L p .865 .799 .784 r
F P
0 g
s
.81249 .31549 m .7725 .25727 L .78673 .23606 L p .865 .799 .784 r
F P
0 g
s
.50564 .60408 m .52284 .60647 L .52141 .60131 L p .491 0 0 r
F P
0 g
s
.52141 .60131 m .4987 .59815 L .50564 .60408 L p .491 0 0 r
F P
0 g
s
.5447 .60024 m .52141 .60131 L .52284 .60647 L p .374 0 0 r
F P
0 g
s
.35128 .4025 m .33394 .4402 L .31708 .4243 L p .416 .462 .8 r
F P
0 g
s
.31708 .4243 m .33557 .38287 L .35128 .4025 L p .416 .462 .8 r
F P
0 g
s
.52284 .60647 m .54049 .60566 L .5447 .60024 L p .374 0 0 r
F P
0 g
s
.56624 .59505 m .5447 .60024 L .54049 .60566 L p .16 0 0 r
F P
0 g
s
.56624 .59505 m .58381 .58622 L .59736 .57749 L p 0 0 0 r
F P
0 g
s
.61202 .563 m .59736 .57749 L .58381 .58622 L p .639 .948 .734 r
F P
0 g
s
.59736 .57749 m .61202 .563 L .62831 .55153 L p .639 .948 .734 r
F P
0 g
s
.49068 .59874 m .50564 .60408 L .4987 .59815 L p .514 0 0 r
F P
0 g
s
.4987 .59815 m .4789 .59106 L .49068 .59874 L p .514 0 0 r
F P
0 g
s
.68131 .45677 m .68726 .48791 L .67012 .50235 L p .898 .895 .816 r
F P
0 g
s
.68726 .48791 m .68131 .45677 L .69799 .4388 L p .898 .895 .816 r
F P
0 g
s
.75824 .27851 m .79637 .33284 L .78018 .35029 L p .865 .799 .784 r
F P
0 g
s
.79637 .33284 m .75824 .27851 L .7725 .25727 L p .865 .799 .784 r
F P
0 g
s
.63537 .53161 m .62831 .55153 L .61202 .563 L p .868 .988 .833 r
F P
0 g
s
.62831 .55153 m .63537 .53161 L .65282 .51692 L p .868 .988 .833 r
F P
0 g
s
.42001 .52138 m .42128 .54181 L .40427 .52885 L p .242 .411 .831 r
F P
0 g
s
.40427 .52885 m .40255 .50492 L .42001 .52138 L p .242 .411 .831 r
F P
0 g
s
.54049 .60566 m .55679 .60174 L .56624 .59505 L p .16 0 0 r
F P
0 g
s
.58381 .58622 m .56624 .59505 L .55679 .60174 L p 0 0 0 r
F P
0 g
s
.36703 .4222 m .35092 .45621 L .33394 .4402 L p .416 .462 .8 r
F P
0 g
s
.33394 .4402 m .35128 .4025 L .36703 .4222 L p .416 .462 .8 r
F P
0 g
s
.74397 .29978 m .78018 .35029 L .7639 .36782 L p .865 .799 .784 r
F P
0 g
s
.78018 .35029 m .74397 .29978 L .75824 .27851 L p .865 .799 .784 r
F P
0 g
s
.45585 .56815 m .46407 .58072 L .44883 .57063 L p 0 .321 .808 r
F P
0 g
s
.44883 .57063 m .43847 .55491 L .45585 .56815 L p 0 .321 .808 r
F P
0 g
s
.47953 .59096 m .49068 .59874 L .4789 .59106 L p 0 .178 .616 r
F P
0 g
s
.4789 .59106 m .46407 .58072 L .47953 .59096 L p 0 .178 .616 r
F P
0 g
s
.66454 .47483 m .67012 .50235 L .65282 .51692 L p .898 .895 .816 r
F P
0 g
s
.67012 .50235 m .66454 .47483 L .68131 .45677 L p .898 .895 .816 r
F P
0 g
s
.72968 .32108 m .7639 .36782 L .74755 .38543 L p .865 .799 .784 r
F P
0 g
s
.7639 .36782 m .72968 .32108 L .74397 .29978 L p .865 .799 .784 r
F P
0 g
s
.38283 .44195 m .36801 .47234 L .35092 .45621 L p .416 .462 .8 r
F P
0 g
s
.35092 .45621 m .36703 .4222 L .38283 .44195 L p .416 .462 .8 r
F P
0 g
s
.55679 .60174 m .57004 .59509 L .58381 .58622 L p 0 0 0 r
F P
0 g
s
.59552 .57461 m .58381 .58622 L .57004 .59509 L p .639 .948 .734 r
F P
0 g
s
.58381 .58622 m .59552 .57461 L .61202 .563 L p .639 .948 .734 r
F P
0 g
s
.43758 .53796 m .43847 .55491 L .42128 .54181 L p .242 .411 .831 r
F P
0 g
s
.42128 .54181 m .42001 .52138 L .43758 .53796 L p .242 .411 .831 r
F P
0 g
s
.71536 .34241 m .74755 .38543 L .73111 .40313 L p .865 .799 .784 r
F P
0 g
s
.74755 .38543 m .71536 .34241 L .72968 .32108 L p .865 .799 .784 r
F P
0 g
s
.61777 .54644 m .61202 .563 L .59552 .57461 L p .868 .988 .833 r
F P
0 g
s
.61202 .563 m .61777 .54644 L .63537 .53161 L p .868 .988 .833 r
F P
0 g
s
.51273 .61014 m .5243 .61174 L .52284 .60647 L p .491 0 0 r
F P
0 g
s
.52284 .60647 m .50564 .60408 L .51273 .61014 L p .491 0 0 r
F P
0 g
s
.54049 .60566 m .52284 .60647 L .5243 .61174 L p .374 0 0 r
F P
0 g
s
.64769 .49298 m .65282 .51692 L .63537 .53161 L p .898 .895 .816 r
F P
0 g
s
.65282 .51692 m .64769 .49298 L .66454 .47483 L p .898 .895 .816 r
F P
0 g
s
.39868 .46177 m .38522 .48857 L .36801 .47234 L p .416 .462 .8 r
F P
0 g
s
.36801 .47234 m .38283 .44195 L .39868 .46177 L p .416 .462 .8 r
F P
0 g
s
.5243 .61174 m .5362 .6112 L .54049 .60566 L p .374 0 0 r
F P
0 g
s
.55679 .60174 m .54049 .60566 L .5362 .6112 L p .16 0 0 r
F P
0 g
s
.50268 .60655 m .51273 .61014 L .50564 .60408 L p .514 0 0 r
F P
0 g
s
.50564 .60408 m .49068 .59874 L .50268 .60655 L p .514 0 0 r
F P
0 g
s
.70102 .36378 m .73111 .40313 L .71459 .42093 L p .865 .799 .784 r
F P
0 g
s
.73111 .40313 m .70102 .36378 L .71536 .34241 L p .865 .799 .784 r
F P
0 g
s
.30148 .20888 m .2424 .26638 L .22704 .24717 L p .526 .5 .77 r
F P
0 g
s
.22704 .24717 m .28893 .18589 L .30148 .20888 L p .526 .5 .77 r
F P
0 g
s
.47342 .58154 m .47953 .59096 L .46407 .58072 L p 0 .321 .808 r
F P
0 g
s
.46407 .58072 m .45585 .56815 L .47342 .58154 L p 0 .321 .808 r
F P
0 g
s
.5362 .6112 m .54716 .60857 L .55679 .60174 L p .16 0 0 r
F P
0 g
s
.57004 .59509 m .55679 .60174 L .54716 .60857 L p 0 0 0 r
F P
0 g
s
.31403 .23188 m .2578 .28564 L .2424 .26638 L p .526 .5 .77 r
F P
0 g
s
.2424 .26638 m .30148 .20888 L .31403 .23188 L p .526 .5 .77 r
F P
0 g
s
.41458 .48165 m .40255 .50492 L .38522 .48857 L p .416 .462 .8 r
F P
0 g
s
.38522 .48857 m .39868 .46177 L .41458 .48165 L p .416 .462 .8 r
F P
0 g
s
.45528 .55465 m .45585 .56815 L .43847 .55491 L p .242 .411 .831 r
F P
0 g
s
.43847 .55491 m .43758 .53796 L .45528 .55465 L p .242 .411 .831 r
F P
0 g
s
.68667 .38517 m .71459 .42093 L .69799 .4388 L p .865 .799 .784 r
F P
0 g
s
.71459 .42093 m .68667 .38517 L .70102 .36378 L p .865 .799 .784 r
F P
0 g
s
.49523 .60136 m .50268 .60655 L .49068 .59874 L p 0 .178 .616 r
F P
0 g
s
.49068 .59874 m .47953 .59096 L .49523 .60136 L p 0 .178 .616 r
F P
0 g
s
.63076 .51122 m .63537 .53161 L .61777 .54644 L p .898 .895 .816 r
F P
0 g
s
.63537 .53161 m .63076 .51122 L .64769 .49298 L p .898 .895 .816 r
F P
0 g
s
.32658 .25487 m .27326 .30497 L .2578 .28564 L p .526 .5 .77 r
F P
0 g
s
.2578 .28564 m .31403 .23188 L .32658 .25487 L p .526 .5 .77 r
F P
0 g
s
.57004 .59509 m .5788 .58638 L .59552 .57461 L p .639 .948 .734 r
F P
0 g
s
.60001 .5614 m .59552 .57461 L .5788 .58638 L p .868 .988 .833 r
F P
0 g
s
.59552 .57461 m .60001 .5614 L .61777 .54644 L p .868 .988 .833 r
F P
0 g
s
.33913 .27786 m .28877 .32435 L .27326 .30497 L p .526 .5 .77 r
F P
0 g
s
.27326 .30497 m .32658 .25487 L .33913 .27786 L p .526 .5 .77 r
F P
0 g
s
.67229 .4066 m .69799 .4388 L .68131 .45677 L p .865 .799 .784 r
F P
0 g
s
.69799 .4388 m .67229 .4066 L .68667 .38517 L p .865 .799 .784 r
F P
0 g
s
.54716 .60857 m .55604 .60411 L .57004 .59509 L p 0 0 0 r
F P
0 g
s
.5788 .58638 m .57004 .59509 L .55604 .60411 L p .639 .948 .734 r
F P
0 g
s
.43053 .5016 m .42001 .52138 L .40255 .50492 L p .416 .462 .8 r
F P
0 g
s
.40255 .50492 m .41458 .48165 L .43053 .5016 L p .416 .462 .8 r
F P
0 g
s
.35168 .30085 m .30432 .3438 L .28877 .32435 L p .526 .5 .77 r
F P
0 g
s
.28877 .32435 m .33913 .27786 L .35168 .30085 L p .526 .5 .77 r
F P
0 g
s
.65789 .42806 m .68131 .45677 L .66454 .47483 L p .865 .799 .784 r
F P
0 g
s
.68131 .45677 m .65789 .42806 L .67229 .4066 L p .865 .799 .784 r
F P
0 g
s
.61374 .52955 m .61777 .54644 L .60001 .5614 L p .898 .895 .816 r
F P
0 g
s
.61777 .54644 m .61374 .52955 L .63076 .51122 L p .898 .895 .816 r
F P
0 g
s
.49119 .59508 m .49523 .60136 L .47953 .59096 L p 0 .321 .808 r
F P
0 g
s
.47953 .59096 m .47342 .58154 L .49119 .59508 L p 0 .321 .808 r
F P
0 g
s
.36423 .32383 m .31992 .3633 L .30432 .3438 L p .526 .5 .77 r
F P
0 g
s
.30432 .3438 m .35168 .30085 L .36423 .32383 L p .526 .5 .77 r
F P
0 g
s
.4731 .57146 m .47342 .58154 L .45585 .56815 L p .242 .411 .831 r
F P
0 g
s
.45585 .56815 m .45528 .55465 L .4731 .57146 L p .242 .411 .831 r
F P
0 g
s
.51995 .61631 m .5258 .61712 L .5243 .61174 L p .491 0 0 r
F P
0 g
s
.5243 .61174 m .51273 .61014 L .51995 .61631 L p .491 0 0 r
F P
0 g
s
.5362 .6112 m .5243 .61174 L .5258 .61712 L p .374 0 0 r
F P
0 g
s
.44654 .52161 m .43758 .53796 L .42001 .52138 L p .416 .462 .8 r
F P
0 g
s
.42001 .52138 m .43053 .5016 L .44654 .52161 L p .416 .462 .8 r
F P
0 g
s
.5258 .61712 m .53181 .61684 L .5362 .6112 L p .374 0 0 r
F P
0 g
s
.54716 .60857 m .5362 .6112 L .53181 .61684 L p .16 0 0 r
F P
0 g
s
.37678 .34682 m .33557 .38287 L .31992 .3633 L p .526 .5 .77 r
F P
0 g
s
.31992 .3633 m .36423 .32383 L .37678 .34682 L p .526 .5 .77 r
F P
0 g
s
.51489 .61451 m .51995 .61631 L .51273 .61014 L p .514 0 0 r
F P
0 g
s
.51273 .61014 m .50268 .60655 L .51489 .61451 L p .514 0 0 r
F P
0 g
s
.64347 .44955 m .66454 .47483 L .64769 .49298 L p .865 .799 .784 r
F P
0 g
s
.66454 .47483 m .64347 .44955 L .65789 .42806 L p .865 .799 .784 r
F P
0 g
s
.55604 .60411 m .56187 .5983 L .5788 .58638 L p .639 .948 .734 r
F P
0 g
s
.58208 .57649 m .5788 .58638 L .56187 .5983 L p .868 .988 .833 r
F P
0 g
s
.5788 .58638 m .58208 .57649 L .60001 .5614 L p .868 .988 .833 r
F P
0 g
s
.53181 .61684 m .53734 .61552 L .54716 .60857 L p .16 0 0 r
F P
0 g
s
.55604 .60411 m .54716 .60857 L .53734 .61552 L p 0 0 0 r
F P
0 g
s
.38933 .36981 m .35128 .4025 L .33557 .38287 L p .526 .5 .77 r
F P
0 g
s
.33557 .38287 m .37678 .34682 L .38933 .36981 L p .526 .5 .77 r
F P
0 g
s
.51116 .6119 m .51489 .61451 L .50268 .60655 L p 0 .178 .616 r
F P
0 g
s
.50268 .60655 m .49523 .60136 L .51116 .6119 L p 0 .178 .616 r
F P
0 g
s
.59663 .54798 m .60001 .5614 L .58208 .57649 L p .898 .895 .816 r
F P
0 g
s
.60001 .5614 m .59663 .54798 L .61374 .52955 L p .898 .895 .816 r
F P
0 g
s
.62902 .47107 m .64769 .49298 L .63076 .51122 L p .865 .799 .784 r
F P
0 g
s
.64769 .49298 m .62902 .47107 L .64347 .44955 L p .865 .799 .784 r
F P
0 g
s
.46259 .54168 m .45528 .55465 L .43758 .53796 L p .416 .462 .8 r
F P
0 g
s
.43758 .53796 m .44654 .52161 L .46259 .54168 L p .416 .462 .8 r
F P
0 g
s
.40187 .3928 m .36703 .4222 L .35128 .4025 L p .526 .5 .77 r
F P
0 g
s
.35128 .4025 m .38933 .36981 L .40187 .3928 L p .526 .5 .77 r
F P
0 g
s
.53734 .61552 m .5418 .61329 L .55604 .60411 L p 0 0 0 r
F P
0 g
s
.56187 .5983 m .55604 .60411 L .5418 .61329 L p .639 .948 .734 r
F P
0 g
s
.49105 .58839 m .49119 .59508 L .47342 .58154 L p .242 .411 .831 r
F P
0 g
s
.47342 .58154 m .4731 .57146 L .49105 .58839 L p .242 .411 .831 r
F P
0 g
s
.41442 .41578 m .38283 .44195 L .36703 .4222 L p .526 .5 .77 r
F P
0 g
s
.36703 .4222 m .40187 .3928 L .41442 .41578 L p .526 .5 .77 r
F P
0 g
s
.61456 .49262 m .63076 .51122 L .61374 .52955 L p .865 .799 .784 r
F P
0 g
s
.63076 .51122 m .61456 .49262 L .62902 .47107 L p .865 .799 .784 r
F P
0 g
s
.50916 .60877 m .51116 .6119 L .49523 .60136 L p 0 .321 .808 r
F P
0 g
s
.49523 .60136 m .49119 .59508 L .50916 .60877 L p 0 .321 .808 r
F P
0 g
s
.42697 .43877 m .39868 .46177 L .38283 .44195 L p .526 .5 .77 r
F P
0 g
s
.38283 .44195 m .41442 .41578 L .42697 .43877 L p .526 .5 .77 r
F P
0 g
s
.4787 .56181 m .4731 .57146 L .45528 .55465 L p .416 .462 .8 r
F P
0 g
s
.45528 .55465 m .46259 .54168 L .4787 .56181 L p .416 .462 .8 r
F P
0 g
s
.72205 .16081 m .80094 .21488 L .78673 .23606 L p .818 .722 .759 r
F P
0 g
s
.56187 .5983 m .564 .59173 L .58208 .57649 L p .868 .988 .833 r
F P
0 g
s
.57944 .56649 m .58208 .57649 L .564 .59173 L p .898 .895 .816 r
F P
0 g
s
.58208 .57649 m .57944 .56649 L .59663 .54798 L p .898 .895 .816 r
F P
0 g
s
.71168 .18541 m .78673 .23606 L .7725 .25727 L p .818 .722 .759 r
F P
0 g
s
.78673 .23606 m .71168 .18541 L .72205 .16081 L p .818 .722 .759 r
F P
0 g
s
.5418 .61329 m .54471 .61038 L .56187 .5983 L p .639 .948 .734 r
F P
0 g
s
.564 .59173 m .56187 .5983 L .54471 .61038 L p .868 .988 .833 r
F P
0 g
s
.43951 .46175 m .41458 .48165 L .39868 .46177 L p .526 .5 .77 r
F P
0 g
s
.39868 .46177 m .42697 .43877 L .43951 .46175 L p .526 .5 .77 r
F P
0 g
s
.60008 .51421 m .61374 .52955 L .59663 .54798 L p .865 .799 .784 r
F P
0 g
s
.61374 .52955 m .60008 .51421 L .61456 .49262 L p .865 .799 .784 r
F P
0 g
s
.70132 .20997 m .7725 .25727 L .75824 .27851 L p .818 .722 .759 r
F P
0 g
s
.7725 .25727 m .70132 .20997 L .71168 .18541 L p .818 .722 .759 r
F P
0 g
s
.69098 .2345 m .75824 .27851 L .74397 .29978 L p .818 .722 .759 r
F P
0 g
s
.75824 .27851 m .69098 .2345 L .70132 .20997 L p .818 .722 .759 r
F P
0 g
s
.45206 .48473 m .43053 .5016 L .41458 .48165 L p .526 .5 .77 r
F P
0 g
s
.41458 .48165 m .43951 .46175 L .45206 .48473 L p .526 .5 .77 r
F P
0 g
s
.50912 .60544 m .50916 .60877 L .49119 .59508 L p .242 .411 .831 r
F P
0 g
s
.49119 .59508 m .49105 .58839 L .50912 .60544 L p .242 .411 .831 r
F P
0 g
s
.68065 .259 m .74397 .29978 L .72968 .32108 L p .818 .722 .759 r
F P
0 g
s
.74397 .29978 m .68065 .259 L .69098 .2345 L p .818 .722 .759 r
F P
0 g
s
.5258 .61712 m .51995 .61631 L .52733 .62261 L closepath p .491 0 0 r
F P
0 g
s
.53181 .61684 m .5258 .61712 L .52733 .62261 L closepath p .374 0 0 r
F P
0 g
s
.49486 .58202 m .49105 .58839 L .4731 .57146 L p .416 .462 .8 r
F P
0 g
s
.4731 .57146 m .4787 .56181 L .49486 .58202 L p .416 .462 .8 r
F P
0 g
s
.53734 .61552 m .53181 .61684 L .52733 .62261 L closepath p .16 0 0 r
F P
0 g
s
.67033 .28346 m .72968 .32108 L .71536 .34241 L p .818 .722 .759 r
F P
0 g
s
.72968 .32108 m .67033 .28346 L .68065 .259 L p .818 .722 .759 r
F P
0 g
s
.51995 .61631 m .51489 .61451 L .52733 .62261 L closepath p .514 0 0 r
F P
0 g
s
.58557 .53582 m .59663 .54798 L .57944 .56649 L p .865 .799 .784 r
F P
0 g
s
.59663 .54798 m .58557 .53582 L .60008 .51421 L p .865 .799 .784 r
F P
0 g
s
.5418 .61329 m .53734 .61552 L .52733 .62261 L closepath p 0 0 0 r
F P
0 g
s
.46461 .50771 m .44654 .52161 L .43053 .5016 L p .526 .5 .77 r
F P
0 g
s
.43053 .5016 m .45206 .48473 L .46461 .50771 L p .526 .5 .77 r
F P
0 g
s
.66003 .3079 m .71536 .34241 L .70102 .36378 L p .818 .722 .759 r
F P
0 g
s
.71536 .34241 m .66003 .3079 L .67033 .28346 L p .818 .722 .759 r
F P
0 g
s
.51489 .61451 m .51116 .6119 L .52733 .62261 L closepath p 0 .178 .616 r
F P
0 g
s
.54471 .61038 m .54575 .6071 L .564 .59173 L p .868 .988 .833 r
F P
0 g
s
.56215 .5851 m .564 .59173 L .54575 .6071 L p .898 .895 .816 r
F P
0 g
s
.564 .59173 m .56215 .5851 L .57944 .56649 L p .898 .895 .816 r
F P
0 g
s
.64974 .3323 m .70102 .36378 L .68667 .38517 L p .818 .722 .759 r
F P
0 g
s
.70102 .36378 m .64974 .3323 L .66003 .3079 L p .818 .722 .759 r
F P
0 g
s
.54471 .61038 m .5418 .61329 L .52733 .62261 L closepath p .639 .948 .734 r
F P
0 g
s
.63947 .35667 m .68667 .38517 L .67229 .4066 L p .818 .722 .759 r
F P
0 g
s
.68667 .38517 m .63947 .35667 L .64974 .3323 L p .818 .722 .759 r
F P
0 g
s
.47715 .5307 m .46259 .54168 L .44654 .52161 L p .526 .5 .77 r
F P
0 g
s
.44654 .52161 m .46461 .50771 L .47715 .5307 L p .526 .5 .77 r
F P
0 g
s
.57104 .55747 m .57944 .56649 L .56215 .5851 L p .865 .799 .784 r
F P
0 g
s
.57944 .56649 m .57104 .55747 L .58557 .53582 L p .865 .799 .784 r
F P
0 g
s
.51116 .6119 m .50916 .60877 L .52733 .62261 L closepath p 0 .321 .808 r
F P
0 g
s
.6292 .381 m .67229 .4066 L .65789 .42806 L p .818 .722 .759 r
F P
0 g
s
.67229 .4066 m .6292 .381 L .63947 .35667 L p .818 .722 .759 r
F P
0 g
s
.51107 .60228 m .50912 .60544 L .49105 .58839 L p .416 .462 .8 r
F P
0 g
s
.49105 .58839 m .49486 .58202 L .51107 .60228 L p .416 .462 .8 r
F P
0 g
s
.61896 .40531 m .65789 .42806 L .64347 .44955 L p .818 .722 .759 r
F P
0 g
s
.65789 .42806 m .61896 .40531 L .6292 .381 L p .818 .722 .759 r
F P
0 g
s
.54575 .6071 m .54471 .61038 L .52733 .62261 L closepath p .868 .988 .833 r
F P
0 g
s
.4897 .55368 m .4787 .56181 L .46259 .54168 L p .526 .5 .77 r
F P
0 g
s
.46259 .54168 m .47715 .5307 L .4897 .55368 L p .526 .5 .77 r
F P
0 g
s
.60872 .42958 m .64347 .44955 L .62902 .47107 L p .818 .722 .759 r
F P
0 g
s
.64347 .44955 m .60872 .42958 L .61896 .40531 L p .818 .722 .759 r
F P
0 g
s
.50916 .60877 m .50912 .60544 L .52733 .62261 L closepath p .242 .411 .831 r
F P
0 g
s
.5985 .45382 m .62902 .47107 L .61456 .49262 L p .818 .722 .759 r
F P
0 g
s
.62902 .47107 m .5985 .45382 L .60872 .42958 L p .818 .722 .759 r
F P
0 g
s
.54575 .6071 m .54479 .60381 L .56215 .5851 L p .898 .895 .816 r
F P
0 g
s
.55649 .57915 m .56215 .5851 L .54479 .60381 L p .865 .799 .784 r
F P
0 g
s
.56215 .5851 m .55649 .57915 L .57104 .55747 L p .865 .799 .784 r
F P
0 g
s
.50224 .57666 m .49486 .58202 L .4787 .56181 L p .526 .5 .77 r
F P
0 g
s
.4787 .56181 m .4897 .55368 L .50224 .57666 L p .526 .5 .77 r
F P
0 g
s
.54479 .60381 m .54575 .6071 L .52733 .62261 L closepath p .898 .895 .816 r
F P
0 g
s
.58829 .47803 m .61456 .49262 L .60008 .51421 L p .818 .722 .759 r
F P
0 g
s
.61456 .49262 m .58829 .47803 L .5985 .45382 L p .818 .722 .759 r
F P
0 g
s
.5781 .5022 m .60008 .51421 L .58557 .53582 L p .818 .722 .759 r
F P
0 g
s
.60008 .51421 m .5781 .5022 L .58829 .47803 L p .818 .722 .759 r
F P
0 g
s
.50912 .60544 m .51107 .60228 L .52733 .62261 L closepath p .416 .462 .8 r
F P
0 g
s
.51478 .59963 m .51107 .60228 L .49486 .58202 L p .526 .5 .77 r
F P
0 g
s
.49486 .58202 m .50224 .57666 L .51478 .59963 L p .526 .5 .77 r
F P
0 g
s
.56792 .52635 m .58557 .53582 L .57104 .55747 L p .818 .722 .759 r
F P
0 g
s
.58557 .53582 m .56792 .52635 L .5781 .5022 L p .818 .722 .759 r
F P
0 g
s
.54192 .60087 m .54479 .60381 L .52733 .62261 L closepath p .865 .799 .784 r
F P
0 g
s
.54479 .60381 m .54192 .60087 L .55649 .57915 L p .865 .799 .784 r
F P
0 g
s
.55775 .55046 m .57104 .55747 L .55649 .57915 L p .818 .722 .759 r
F P
0 g
s
.57104 .55747 m .55775 .55046 L .56792 .52635 L p .818 .722 .759 r
F P
0 g
s
.51107 .60228 m .51478 .59963 L .52733 .62261 L closepath p .526 .5 .77 r
F P
0 g
s
.5476 .57454 m .55649 .57915 L .54192 .60087 L p .818 .722 .759 r
F P
0 g
s
.55649 .57915 m .5476 .57454 L .55775 .55046 L p .818 .722 .759 r
F P
0 g
s
.53746 .59859 m .54192 .60087 L .52733 .62261 L closepath p .818 .722 .759 r
F P
0 g
s
.54192 .60087 m .53746 .59859 L .5476 .57454 L p .818 .722 .759 r
F P
0 g
s
.53188 .59724 m .53746 .59859 L .52733 .62261 L closepath p .769 .663 .745 r
F P
0 g
s
.52579 .59697 m .53188 .59724 L .52733 .62261 L closepath p .719 .614 .739 r
F P
0 g
s
.51478 .59963 m .51988 .59779 L .52733 .62261 L closepath p .604 .536 .751 r
F P
0 g
s
.51988 .59779 m .52579 .59697 L .52733 .62261 L closepath p .666 .573 .741 r
F P
0 g
s
.51988 .59779 m .51478 .59963 L .50224 .57666 L p .604 .536 .751 r
F P
0 g
s
.50224 .57666 m .51241 .57292 L .51988 .59779 L p .604 .536 .751 r
F P
0 g
s
.51241 .57292 m .50224 .57666 L .4897 .55368 L p .604 .536 .751 r
F P
0 g
s
.4897 .55368 m .50493 .54799 L .51241 .57292 L p .604 .536 .751 r
F P
0 g
s
.50493 .54799 m .4897 .55368 L .47715 .5307 L p .604 .536 .751 r
F P
0 g
s
.47715 .5307 m .49743 .523 L .50493 .54799 L p .604 .536 .751 r
F P
0 g
s
.49743 .523 m .47715 .5307 L .46461 .50771 L p .604 .536 .751 r
F P
0 g
s
.46461 .50771 m .48991 .49795 L .49743 .523 L p .604 .536 .751 r
F P
0 g
s
.48991 .49795 m .46461 .50771 L .45206 .48473 L p .604 .536 .751 r
F P
0 g
s
.45206 .48473 m .48238 .47285 L .48991 .49795 L p .604 .536 .751 r
F P
0 g
s
.48238 .47285 m .45206 .48473 L .43951 .46175 L p .604 .536 .751 r
F P
0 g
s
.43951 .46175 m .47482 .44768 L .48238 .47285 L p .604 .536 .751 r
F P
0 g
s
.47482 .44768 m .43951 .46175 L .42697 .43877 L p .604 .536 .751 r
F P
0 g
s
.42697 .43877 m .46725 .42246 L .47482 .44768 L p .604 .536 .751 r
F P
0 g
s
.46725 .42246 m .42697 .43877 L .41442 .41578 L p .604 .536 .751 r
F P
0 g
s
.41442 .41578 m .45967 .39718 L .46725 .42246 L p .604 .536 .751 r
F P
0 g
s
.45967 .39718 m .41442 .41578 L .40187 .3928 L p .604 .536 .751 r
F P
0 g
s
.40187 .3928 m .45206 .37184 L .45967 .39718 L p .604 .536 .751 r
F P
0 g
s
.45206 .37184 m .40187 .3928 L .38933 .36981 L p .604 .536 .751 r
F P
0 g
s
.38933 .36981 m .44444 .34645 L .45206 .37184 L p .604 .536 .751 r
F P
0 g
s
.44444 .34645 m .38933 .36981 L .37678 .34682 L p .604 .536 .751 r
F P
0 g
s
.37678 .34682 m .4368 .32099 L .44444 .34645 L p .604 .536 .751 r
F P
0 g
s
.4368 .32099 m .37678 .34682 L .36423 .32383 L p .604 .536 .751 r
F P
0 g
s
.36423 .32383 m .42914 .29548 L .4368 .32099 L p .604 .536 .751 r
F P
0 g
s
.42914 .29548 m .36423 .32383 L .35168 .30085 L p .604 .536 .751 r
F P
0 g
s
.35168 .30085 m .42147 .2699 L .42914 .29548 L p .604 .536 .751 r
F P
0 g
s
.42147 .2699 m .35168 .30085 L .33913 .27786 L p .604 .536 .751 r
F P
0 g
s
.33913 .27786 m .41377 .24427 L .42147 .2699 L p .604 .536 .751 r
F P
0 g
s
.41377 .24427 m .33913 .27786 L .32658 .25487 L p .604 .536 .751 r
F P
0 g
s
.32658 .25487 m .40606 .21858 L .41377 .24427 L p .604 .536 .751 r
F P
0 g
s
.40606 .21858 m .32658 .25487 L .31403 .23188 L p .604 .536 .751 r
F P
0 g
s
.31403 .23188 m .39833 .19282 L .40606 .21858 L p .604 .536 .751 r
F P
0 g
s
.39833 .19282 m .31403 .23188 L .30148 .20888 L p .604 .536 .751 r
F P
0 g
s
.30148 .20888 m .39058 .16701 L .39833 .19282 L p .604 .536 .751 r
F P
0 g
s
.39058 .16701 m .30148 .20888 L .28893 .18589 L p .604 .536 .751 r
F P
0 g
s
.28893 .18589 m .38282 .14113 L .39058 .16701 L p .604 .536 .751 r
F P
0 g
s
.53746 .59859 m .53188 .59724 L .53644 .5718 L p .769 .663 .745 r
F P
0 g
s
.53644 .5718 m .5476 .57454 L .53746 .59859 L p .769 .663 .745 r
F P
0 g
s
.52579 .59697 m .51988 .59779 L .51241 .57292 L p .666 .573 .741 r
F P
0 g
s
.5476 .57454 m .53644 .5718 L .54101 .54628 L p .769 .663 .745 r
F P
0 g
s
.54101 .54628 m .55775 .55046 L .5476 .57454 L p .769 .663 .745 r
F P
0 g
s
.53188 .59724 m .52579 .59697 L .52425 .57124 L p .719 .614 .739 r
F P
0 g
s
.52425 .57124 m .53644 .5718 L .53188 .59724 L p .719 .614 .739 r
F P
0 g
s
.51241 .57292 m .52425 .57124 L .52579 .59697 L p .666 .573 .741 r
F P
0 g
s
.55775 .55046 m .54101 .54628 L .5456 .52068 L p .769 .663 .745 r
F P
0 g
s
.5456 .52068 m .56792 .52635 L .55775 .55046 L p .769 .663 .745 r
F P
0 g
s
.52425 .57124 m .51241 .57292 L .50493 .54799 L p .666 .573 .741 r
F P
0 g
s
.56792 .52635 m .5456 .52068 L .5502 .49501 L p .769 .663 .745 r
F P
0 g
s
.5502 .49501 m .5781 .5022 L .56792 .52635 L p .769 .663 .745 r
F P
0 g
s
.53644 .5718 m .52425 .57124 L .52271 .54542 L p .719 .614 .739 r
F P
0 g
s
.52271 .54542 m .54101 .54628 L .53644 .5718 L p .719 .614 .739 r
F P
0 g
s
.5781 .5022 m .5502 .49501 L .55482 .46926 L p .769 .663 .745 r
F P
0 g
s
.55482 .46926 m .58829 .47803 L .5781 .5022 L p .769 .663 .745 r
F P
0 g
s
.50493 .54799 m .52271 .54542 L .52425 .57124 L p .666 .573 .741 r
F P
0 g
s
.52271 .54542 m .50493 .54799 L .49743 .523 L p .666 .573 .741 r
F P
0 g
s
.58829 .47803 m .55482 .46926 L .55945 .44343 L p .769 .663 .745 r
F P
0 g
s
.55945 .44343 m .5985 .45382 L .58829 .47803 L p .769 .663 .745 r
F P
0 g
s
.54101 .54628 m .52271 .54542 L .52116 .51952 L p .719 .614 .739 r
F P
0 g
s
.52116 .51952 m .5456 .52068 L .54101 .54628 L p .719 .614 .739 r
F P
0 g
s
.49743 .523 m .52116 .51952 L .52271 .54542 L p .666 .573 .741 r
F P
0 g
s
.52116 .51952 m .49743 .523 L .48991 .49795 L p .666 .573 .741 r
F P
0 g
s
.5985 .45382 m .55945 .44343 L .56409 .41753 L p .769 .663 .745 r
F P
0 g
s
.56409 .41753 m .60872 .42958 L .5985 .45382 L p .769 .663 .745 r
F P
0 g
s
.60872 .42958 m .56409 .41753 L .56875 .39155 L p .769 .663 .745 r
F P
0 g
s
.56875 .39155 m .61896 .40531 L .60872 .42958 L p .769 .663 .745 r
F P
0 g
s
.48991 .49795 m .5196 .49353 L .52116 .51952 L p .666 .573 .741 r
F P
0 g
s
.5196 .49353 m .48991 .49795 L .48238 .47285 L p .666 .573 .741 r
F P
0 g
s
.61896 .40531 m .56875 .39155 L .57342 .36549 L p .769 .663 .745 r
F P
0 g
s
.57342 .36549 m .6292 .381 L .61896 .40531 L p .769 .663 .745 r
F P
0 g
s
.5456 .52068 m .52116 .51952 L .5196 .49353 L p .719 .614 .739 r
F P
0 g
s
.5196 .49353 m .5502 .49501 L .5456 .52068 L p .719 .614 .739 r
F P
0 g
s
.6292 .381 m .57342 .36549 L .57811 .33935 L p .769 .663 .745 r
F P
0 g
s
.57811 .33935 m .63947 .35667 L .6292 .381 L p .769 .663 .745 r
F P
0 g
s
.48238 .47285 m .51804 .46745 L .5196 .49353 L p .666 .573 .741 r
F P
0 g
s
.51804 .46745 m .48238 .47285 L .47482 .44768 L p .666 .573 .741 r
F P
0 g
s
.63947 .35667 m .57811 .33935 L .58281 .31313 L p .769 .663 .745 r
F P
0 g
s
.58281 .31313 m .64974 .3323 L .63947 .35667 L p .769 .663 .745 r
F P
0 g
s
.5502 .49501 m .5196 .49353 L .51804 .46745 L p .719 .614 .739 r
F P
0 g
s
.51804 .46745 m .55482 .46926 L .5502 .49501 L p .719 .614 .739 r
F P
0 g
s
.64974 .3323 m .58281 .31313 L .58752 .28683 L p .769 .663 .745 r
F P
0 g
s
.58752 .28683 m .66003 .3079 L .64974 .3323 L p .769 .663 .745 r
F P
0 g
s
.47482 .44768 m .51648 .44129 L .51804 .46745 L p .666 .573 .741 r
F P
0 g
s
.51648 .44129 m .47482 .44768 L .46725 .42246 L p .666 .573 .741 r
F P
0 g
s
.66003 .3079 m .58752 .28683 L .59225 .26046 L p .769 .663 .745 r
F P
0 g
s
.59225 .26046 m .67033 .28346 L .66003 .3079 L p .769 .663 .745 r
F P
0 g
s
.55482 .46926 m .51804 .46745 L .51648 .44129 L p .719 .614 .739 r
F P
0 g
s
.51648 .44129 m .55945 .44343 L .55482 .46926 L p .719 .614 .739 r
F P
0 g
s
.46725 .42246 m .51491 .41504 L .51648 .44129 L p .666 .573 .741 r
F P
0 g
s
.51491 .41504 m .46725 .42246 L .45967 .39718 L p .666 .573 .741 r
F P
0 g
s
.67033 .28346 m .59225 .26046 L .59699 .234 L p .769 .663 .745 r
F P
0 g
s
.59699 .234 m .68065 .259 L .67033 .28346 L p .769 .663 .745 r
F P
0 g
s
.68065 .259 m .59699 .234 L .60175 .20746 L p .769 .663 .745 r
F P
0 g
s
.60175 .20746 m .69098 .2345 L .68065 .259 L p .769 .663 .745 r
F P
0 g
s
.45967 .39718 m .51333 .3887 L .51491 .41504 L p .666 .573 .741 r
F P
0 g
s
.51333 .3887 m .45967 .39718 L .45206 .37184 L p .666 .573 .741 r
F P
0 g
s
.55945 .44343 m .51648 .44129 L .51491 .41504 L p .719 .614 .739 r
F P
0 g
s
.51491 .41504 m .56409 .41753 L .55945 .44343 L p .719 .614 .739 r
F P
0 g
s
.69098 .2345 m .60175 .20746 L .60652 .18084 L p .769 .663 .745 r
F P
0 g
s
.60652 .18084 m .70132 .20997 L .69098 .2345 L p .769 .663 .745 r
F P
0 g
s
.70132 .20997 m .60652 .18084 L .6113 .15415 L p .769 .663 .745 r
F P
0 g
s
.6113 .15415 m .71168 .18541 L .70132 .20997 L p .769 .663 .745 r
F P
0 g
s
.45206 .37184 m .51175 .36228 L .51333 .3887 L p .666 .573 .741 r
F P
0 g
s
.51175 .36228 m .45206 .37184 L .44444 .34645 L p .666 .573 .741 r
F P
0 g
s
.71168 .18541 m .6113 .15415 L .6161 .12737 L p .769 .663 .745 r
F P
0 g
s
.6161 .12737 m .72205 .16081 L .71168 .18541 L p .769 .663 .745 r
F P
0 g
s
.56409 .41753 m .51491 .41504 L .51333 .3887 L p .719 .614 .739 r
F P
0 g
s
.51333 .3887 m .56875 .39155 L .56409 .41753 L p .719 .614 .739 r
F P
0 g
s
.44444 .34645 m .51016 .33576 L .51175 .36228 L p .666 .573 .741 r
F P
0 g
s
.51016 .33576 m .44444 .34645 L .4368 .32099 L p .666 .573 .741 r
F P
0 g
s
.56875 .39155 m .51333 .3887 L .51175 .36228 L p .719 .614 .739 r
F P
0 g
s
.51175 .36228 m .57342 .36549 L .56875 .39155 L p .719 .614 .739 r
F P
0 g
s
.4368 .32099 m .50857 .30916 L .51016 .33576 L p .666 .573 .741 r
F P
0 g
s
.50857 .30916 m .4368 .32099 L .42914 .29548 L p .666 .573 .741 r
F P
0 g
s
.57342 .36549 m .51175 .36228 L .51016 .33576 L p .719 .614 .739 r
F P
0 g
s
.51016 .33576 m .57811 .33935 L .57342 .36549 L p .719 .614 .739 r
F P
0 g
s
.42914 .29548 m .50697 .28246 L .50857 .30916 L p .666 .573 .741 r
F P
0 g
s
.50697 .28246 m .42914 .29548 L .42147 .2699 L p .666 .573 .741 r
F P
0 g
s
.42147 .2699 m .50537 .25568 L .50697 .28246 L p .666 .573 .741 r
F P
0 g
s
.50537 .25568 m .42147 .2699 L .41377 .24427 L p .666 .573 .741 r
F P
0 g
s
.57811 .33935 m .51016 .33576 L .50857 .30916 L p .719 .614 .739 r
F P
0 g
s
.50857 .30916 m .58281 .31313 L .57811 .33935 L p .719 .614 .739 r
F P
0 g
s
.41377 .24427 m .50376 .2288 L .50537 .25568 L p .666 .573 .741 r
F P
0 g
s
.50376 .2288 m .41377 .24427 L .40606 .21858 L p .666 .573 .741 r
F P
0 g
s
.58281 .31313 m .50857 .30916 L .50697 .28246 L p .719 .614 .739 r
F P
0 g
s
.50697 .28246 m .58752 .28683 L .58281 .31313 L p .719 .614 .739 r
F P
0 g
s
.40606 .21858 m .50215 .20183 L .50376 .2288 L p .666 .573 .741 r
F P
0 g
s
.50215 .20183 m .40606 .21858 L .39833 .19282 L p .666 .573 .741 r
F P
0 g
s
.58752 .28683 m .50697 .28246 L .50537 .25568 L p .719 .614 .739 r
F P
0 g
s
.50537 .25568 m .59225 .26046 L .58752 .28683 L p .719 .614 .739 r
F P
0 g
s
.39833 .19282 m .50053 .17478 L .50215 .20183 L p .666 .573 .741 r
F P
0 g
s
.50053 .17478 m .39833 .19282 L .39058 .16701 L p .666 .573 .741 r
F P
0 g
s
.39058 .16701 m .4989 .14763 L .50053 .17478 L p .666 .573 .741 r
F P
0 g
s
.4989 .14763 m .39058 .16701 L .38282 .14113 L p .666 .573 .741 r
F P
0 g
s
.59225 .26046 m .50537 .25568 L .50376 .2288 L p .719 .614 .739 r
F P
0 g
s
.50376 .2288 m .59699 .234 L .59225 .26046 L p .719 .614 .739 r
F P
0 g
s
.38282 .14113 m .49727 .12038 L .4989 .14763 L p .666 .573 .741 r
F P
0 g
s
.59699 .234 m .50376 .2288 L .50215 .20183 L p .719 .614 .739 r
F P
0 g
s
.50215 .20183 m .60175 .20746 L .59699 .234 L p .719 .614 .739 r
F P
0 g
s
.60175 .20746 m .50215 .20183 L .50053 .17478 L p .719 .614 .739 r
F P
0 g
s
.50053 .17478 m .60652 .18084 L .60175 .20746 L p .719 .614 .739 r
F P
0 g
s
.60652 .18084 m .50053 .17478 L .4989 .14763 L p .719 .614 .739 r
F P
0 g
s
.4989 .14763 m .6113 .15415 L .60652 .18084 L p .719 .614 .739 r
F P
0 g
s
.6113 .15415 m .4989 .14763 L .49727 .12038 L p .719 .614 .739 r
F P
0 g
s
.49727 .12038 m .6161 .12737 L .6113 .15415 L p .719 .614 .739 r
F P
0 g
s
% End of Graphics
MathPictureEnd
\
\>"], "Graphics",
 ImageSize->{209, 161.125},
 ImageMargins->{{60, 0}, {0, 0}},
 ImageRegion->{{-0.22488, 1.15311}, {-0.161365, 
  1.37859}},ImageCache->GraphicsData["CompressedBitmap", "\<\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\
\>"],ImageRangeCache->{{{-47., 240.}, {186.125, -61.}} -> {0., 0., 0., \
0.}},ExpressionUUID->"38a59b6c-fa63-44ce-9109-f42d97e0064d"],

Cell[BoxData[
 TagBox[
  RowBox[{"\[SkeletonIndicator]", "Graphics3D", "\[SkeletonIndicator]"}],
  False,
  Editable->False]], "Output",ExpressionUUID->"5ef01210-749f-46ec-b741-\
2f68dfe198ea"]
}, Open  ]]
}, Closed]],

Cell[CellGroupData[{

Cell["InequalityPlot3D", "Subsection",ExpressionUUID->"12c9a272-30f0-4fcc-a543-15dc41f54bf8"],

Cell[BoxData[
 RowBox[{"<<", "Graphics`InequalityGraphics`"}]], "Input",ExpressionUUID->"a8930621-2b81-48c1-9388-ed7e36e5c250"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"With", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"c", "=", "1"}], ",", 
     RowBox[{"h", "=", "3"}]}], "}"}], ",", 
   RowBox[{"InequalityPlot3D", "[", 
    RowBox[{
     RowBox[{
      RowBox[{
       FractionBox[
        RowBox[{
         SuperscriptBox["x", "2"], "+", 
         SuperscriptBox["y", "2"]}], 
        SuperscriptBox["c", "2"]], "<", 
       SuperscriptBox[
        RowBox[{"(", 
         RowBox[{"z", "-", "h"}], ")"}], "2"]}], "&&", 
      RowBox[{"0", "<", "z", "<", "h"}]}], ",", 
     RowBox[{"{", "x", "}"}], ",", 
     RowBox[{"{", "y", "}"}], ",", 
     RowBox[{"{", "z", "}"}], ",", 
     RowBox[{"BoxRatios", "\[Rule]", 
      RowBox[{"{", 
       RowBox[{"1", ",", "1", ",", "1"}], "}"}]}]}], "]"}]}], "]"}]], "Input",\
ExpressionUUID->"eff11413-bb6d-4889-8b1d-4d1d07ddbf2f"],

Cell[GraphicsData["PostScript", "\<\
%!
%%Creator: Mathematica
%%AspectRatio: 1.0855 
MathPictureStart
/Mabs {
Mgmatrix idtransform
Mtmatrix dtransform
} bind def
/Mabsadd { Mabs
3 -1 roll add
3 1 roll add
exch } bind def
%% Graphics3D
%%IncludeResource: font Courier
%%IncludeFont: Courier
/Courier findfont 10  scalefont  setfont
% Scaling calculations
-0.0567234 1.16608 -1.11022e-16 1.16608 [
[.17551 .19405 -11.4821 -9 ]
[.17551 .19405 .51795 0 ]
[.3545 .11847 -5.39155 -9 ]
[.3545 .11847 .60845 0 ]
[.5472 .03717 -5.04208 -9 ]
[.5472 .03717 .95792 0 ]
[.08508 .87939 -6.77938 0 ]
[.08508 .87939 5.22062 9 ]
[.22056 .97437 -3.26269 0 ]
[.22056 .97437 2.73731 9 ]
[.33861 1.05713 -3.15753 0 ]
[.33861 1.05713 2.84247 9 ]
[.07325 .26228 -6 -2.6177 ]
[.07325 .26228 0 6.3823 ]
[.04822 .41894 -6 -2.75702 ]
[.04822 .41894 0 6.24298 ]
[.0202 .59437 -6 -2.91482 ]
[.0202 .59437 0 6.08518 ]
[-0.01139 .79218 -6 -3.09501 ]
[-0.01139 .79218 0 5.90499 ]
[ 0 0 0 0 ]
[ 1 1.0855 0 0 ]
] MathScale
% Start of Graphics
1 setlinecap
1 setlinejoin
newpath
0 g
.25 Mabswid
[ ] 0 setdash
.08846 .24555 m
.67245 0 L
s
.18535 .20481 m
.19026 .21019 L
s
[(-2)] .17551 .19405 .91368 1 Mshowa
.36358 .12987 m
.36813 .13557 L
s
[(0)] .3545 .11847 .79718 1 Mshowa
.5554 .04922 m
.5595 .05524 L
s
[(2)] .5472 .03717 .68069 1 Mshowa
.125 Mabswid
.22871 .18658 m
.23161 .18985 L
s
.27286 .16802 m
.2757 .17134 L
s
.31781 .14912 m
.3206 .15249 L
s
.41021 .11027 m
.41287 .11373 L
s
.4577 .0903 m
.4603 .09381 L
s
.50609 .06995 m
.50862 .07352 L
s
.14274 .22273 m
.14574 .22591 L
s
.10087 .24033 m
.10392 .24347 L
s
.60566 .02809 m
.60804 .03175 L
s
.65689 .00654 m
.6592 .01026 L
s
.25 Mabswid
0 .80374 m
.40037 1.0855 L
s
.08695 .86493 m
.08789 .8577 L
s
[(-2)] .08508 .87939 .1299 -1 Mshowa
.22183 .95985 m
.22246 .95259 L
s
[(0)] .22056 .97437 .08756 -1 Mshowa
.33938 1.04257 m
.33976 1.03529 L
s
[(2)] .33861 1.05713 .05251 -1 Mshowa
.125 Mabswid
.1225 .88995 m
.12302 .88561 L
s
.15679 .91408 m
.15726 .90973 L
s
.18988 .93736 m
.1903 .93301 L
s
.2527 .98157 m
.25304 .97722 L
s
.28255 1.00258 m
.28286 .99822 L
s
.31143 1.0229 m
.31169 1.01854 L
s
.05007 .83897 m
.05068 .83465 L
s
.01178 .81203 m
.01244 .8077 L
s
.36644 1.06162 m
.36664 1.05725 L
s
.39267 1.08007 m
.39283 1.0757 L
s
.25 Mabswid
.08846 .24555 m
0 .80374 L
s
.0867 .25665 m
.09342 .25384 L
s
[(0)] .07325 .26228 1 -0.41829 Mshowa
.06181 .41367 m
.06861 .41104 L
s
[(1)] .04822 .41894 1 -0.38733 Mshowa
.03395 .58953 m
.04082 .58711 L
s
[(2)] .0202 .59437 1 -0.35226 Mshowa
.00252 .78784 m
.00948 .78567 L
s
[(3)] -0.01139 .79218 1 -0.31222 Mshowa
.125 Mabswid
.08194 .2867 m
.08598 .28503 L
s
.07707 .3174 m
.08112 .31575 L
s
.0721 .34878 m
.07616 .34715 L
s
.06701 .38086 m
.07108 .37926 L
s
.0565 .44723 m
.06058 .44568 L
s
.05105 .48157 m
.05515 .48004 L
s
.04549 .51671 m
.04959 .51521 L
s
.03978 .55269 m
.0439 .55121 L
s
.02797 .62727 m
.0321 .62584 L
s
.02184 .66593 m
.02598 .66453 L
s
.01556 .70555 m
.01971 .70419 L
s
.00912 .74618 m
.01329 .74484 L
s
.25 Mabswid
.08846 .24555 m
0 .80374 L
s
0 .80374 m
.40037 1.0855 L
s
.40037 1.0855 m
.41799 .58158 L
s
.41799 .58158 m
.08846 .24555 L
s
.67245 0 m
.92713 .41497 L
s
.92713 .41497 m
1 .94814 L
s
1 .94814 m
.70644 .58546 L
s
.70644 .58546 m
.67245 0 L
s
.08846 .24555 m
0 .80374 L
s
0 .80374 m
.70644 .58546 L
s
.70644 .58546 m
.67245 0 L
s
.67245 0 m
.08846 .24555 L
s
.41799 .58158 m
.92713 .41497 L
s
.92713 .41497 m
1 .94814 L
s
1 .94814 m
.40037 1.0855 L
s
.40037 1.0855 m
.41799 .58158 L
s
0 0 m
1 0 L
1 1.0855 L
0 1.0855 L
closepath
clip
newpath
.5 Mabswid
.672 .728 .891 r
.49087 .49371 m .51906 .52538 L .59097 .5206 L p F P
0 g
s
.672 .728 .891 r
.51906 .52538 m .49087 .49371 L .41099 .49102 L p F P
0 g
s
.672 .728 .891 r
.41099 .49102 m .43376 .51539 L .51906 .52538 L p F P
0 g
s
.635 .273 .339 r
.59097 .5206 m .51906 .52538 L .48994 .57259 L p F P
0 g
s
.729 .361 .352 r
.51906 .52538 m .43376 .51539 L .40932 .53463 L p F P
0 g
s
.729 .361 .352 r
.40932 .53463 m .48994 .57259 L .51906 .52538 L p F P
0 g
s
.672 .728 .891 r
.56078 .48491 m .59097 .5206 L .65504 .5055 L p F P
0 g
s
.672 .728 .891 r
.59097 .5206 m .56078 .48491 L .49087 .49371 L p F P
0 g
s
.509 .152 .295 r
.65504 .5055 m .59097 .5206 L .56196 .5874 L p F P
0 g
s
.635 .273 .339 r
.48994 .57259 m .56196 .5874 L .59097 .5206 L p F P
0 g
s
.672 .728 .891 r
.27912 .43541 m .43376 .51539 L .41099 .49102 L closepath p F P
0 g
s
.854 .503 .388 r
.27912 .43541 m .40932 .53463 L .43376 .51539 L closepath p F P
0 g
s
.672 .728 .891 r
.62494 .46795 m .65504 .5055 L .71299 .48057 L p F P
0 g
s
.672 .728 .891 r
.65504 .5055 m .62494 .46795 L .56078 .48491 L p F P
0 g
s
.3 0 .192 r
.71299 .48057 m .65504 .5055 L .62861 .57916 L p F P
0 g
s
.509 .152 .295 r
.56196 .5874 m .62861 .57916 L .65504 .5055 L p F P
0 g
s
.672 .728 .891 r
.46162 .46085 m .49087 .49371 L .56078 .48491 L p F P
0 g
s
.672 .728 .891 r
.49087 .49371 m .46162 .46085 L .38758 .46595 L p F P
0 g
s
.672 .728 .891 r
.38758 .46595 m .41099 .49102 L .49087 .49371 L p F P
0 g
s
.672 .728 .891 r
.27912 .43541 m .41099 .49102 L .38758 .46595 L closepath p F P
0 g
s
.672 .728 .891 r
.52932 .44771 m .56078 .48491 L .62494 .46795 L p F P
0 g
s
.672 .728 .891 r
.56078 .48491 m .52932 .44771 L .46162 .46085 L p F P
0 g
s
.672 .728 .891 r
.68467 .44319 m .71299 .48057 L .76475 .44388 L p F P
0 g
s
.672 .728 .891 r
.71299 .48057 m .68467 .44319 L .62494 .46795 L p F P
0 g
s
0 0 0 r
.76475 .44388 m .71299 .48057 L .69021 .54672 L p F P
0 g
s
.3 0 .192 r
.62861 .57916 m .69021 .54672 L .71299 .48057 L p F P
0 g
s
.672 .728 .891 r
.59351 .42876 m .62494 .46795 L .68467 .44319 L p F P
0 g
s
.672 .728 .891 r
.62494 .46795 m .59351 .42876 L .52932 .44771 L p F P
0 g
s
.672 .728 .891 r
.36349 .44016 m .38758 .46595 L .46162 .46085 L p F P
0 g
s
.672 .728 .891 r
.27912 .43541 m .38758 .46595 L .36349 .44016 L closepath p F P
0 g
s
.762 .384 .339 r
.48994 .57259 m .40932 .53463 L .38389 .54538 L p F P
0 g
s
.855 .478 .335 r
.27912 .43541 m .38389 .54538 L .40932 .53463 L closepath p F P
0 g
s
.672 .728 .891 r
.43125 .42673 m .46162 .46085 L .52932 .44771 L p F P
0 g
s
.672 .728 .891 r
.46162 .46085 m .43125 .42673 L .36349 .44016 L p F P
0 g
s
.68 .315 .349 r
.56196 .5874 m .48994 .57259 L .4583 .61374 L p F P
0 g
s
.762 .384 .339 r
.38389 .54538 m .4583 .61374 L .48994 .57259 L p F P
0 g
s
.672 .728 .891 r
.4965 .40891 m .52932 .44771 L .59351 .42876 L p F P
0 g
s
.672 .728 .891 r
.52932 .44771 m .4965 .40891 L .43125 .42673 L p F P
0 g
s
.672 .728 .891 r
.73994 .40911 m .76475 .44388 L .80735 .38867 L p F P
0 g
s
.672 .728 .891 r
.76475 .44388 m .73994 .40911 L .68467 .44319 L p F P
0 g
s
.752 .898 .504 r
.80735 .38867 m .76475 .44388 L .74581 .48958 L p F P
0 g
s
0 0 0 r
.69021 .54672 m .74581 .48958 L .76475 .44388 L p F P
0 g
s
.672 .728 .891 r
.65512 .40419 m .68467 .44319 L .73994 .40911 L p F P
0 g
s
.672 .728 .891 r
.68467 .44319 m .65512 .40419 L .59351 .42876 L p F P
0 g
s
.672 .728 .891 r
.33869 .41361 m .36349 .44016 L .43125 .42673 L p F P
0 g
s
.672 .728 .891 r
.27912 .43541 m .36349 .44016 L .33869 .41361 L closepath p F P
0 g
s
.672 .728 .891 r
.27912 .43541 m .33869 .41361 L .31315 .38627 L closepath p F P
0 g
s
.672 .728 .891 r
.27912 .43541 m .31315 .38627 L .28684 .3581 L closepath p F P
0 g
s
.672 .728 .891 r
.27912 .43541 m .28684 .3581 L .25972 .32907 L closepath p F P
0 g
s
.672 .728 .891 r
.27912 .43541 m .25972 .32907 L .23175 .29913 L closepath p F P
0 g
s
.858 .439 .232 r
.27912 .43541 m .35778 .54377 L .38389 .54538 L closepath p F P
0 g
s
.84 .374 .03 r
.27912 .43541 m .33148 .52626 L .35778 .54377 L closepath p F P
0 g
s
.738 .289 0 r
.27912 .43541 m .30545 .49114 L .33148 .52626 L closepath p F P
0 g
s
.65 .277 0 r
.27912 .43541 m .28007 .43942 L .30545 .49114 L closepath p F P
0 g
s
.67 .344 0 r
.27912 .43541 m .25549 .3742 L .28007 .43942 L closepath p F P
0 g
s
.736 .427 0 r
.27912 .43541 m .23175 .29913 L .25549 .3742 L closepath p F P
0 g
s
.672 .728 .891 r
.56067 .3878 m .59351 .42876 L .65512 .40419 L p F P
0 g
s
.672 .728 .891 r
.59351 .42876 m .56067 .3878 L .4965 .40891 L p F P
0 g
s
.672 .728 .891 r
.39971 .39128 m .43125 .42673 L .4965 .40891 L p F P
0 g
s
.672 .728 .891 r
.43125 .42673 m .39971 .39128 L .33869 .41361 L p F P
0 g
s
.542 .183 .308 r
.62861 .57916 m .56196 .5874 L .52953 .65767 L p F P
0 g
s
.68 .315 .349 r
.4583 .61374 m .52953 .65767 L .56196 .5874 L p F P
0 g
s
.804 .402 .291 r
.4583 .61374 m .38389 .54538 L .35778 .54377 L p F P
0 g
s
.672 .728 .891 r
.31315 .38627 m .33869 .41361 L .39971 .39128 L p F P
0 g
s
.672 .728 .891 r
.80735 .38867 m .78854 .36057 L .73994 .40911 L p F P
0 g
s
.672 .728 .891 r
.71415 .37297 m .73994 .40911 L .78854 .36057 L p F P
0 g
s
.672 .728 .891 r
.73994 .40911 m .71415 .37297 L .65512 .40419 L p F P
0 g
s
.672 .728 .891 r
.46223 .3684 m .4965 .40891 L .56067 .3878 L p F P
0 g
s
.672 .728 .891 r
.4965 .40891 m .46223 .3684 L .39971 .39128 L p F P
0 g
s
.672 .728 .891 r
.62427 .36347 m .65512 .40419 L .71415 .37297 L p F P
0 g
s
.672 .728 .891 r
.65512 .40419 m .62427 .36347 L .56067 .3878 L p F P
0 g
s
.219 0 .142 r
.69021 .54672 m .62861 .57916 L .59883 .66217 L p F P
0 g
s
.542 .183 .308 r
.52953 .65767 m .59883 .66217 L .62861 .57916 L p F P
0 g
s
.672 .728 .891 r
.36691 .35443 m .39971 .39128 L .46223 .3684 L p F P
0 g
s
.672 .728 .891 r
.39971 .39128 m .36691 .35443 L .31315 .38627 L p F P
0 g
s
.672 .728 .891 r
.78854 .36057 m .80735 .38867 L .79949 .24499 L closepath p F P
0 g
s
.969 .866 .472 r
.79262 .40544 m .79949 .24499 L .80735 .38867 L closepath p F P
0 g
s
.752 .898 .504 r
.74581 .48958 m .79262 .40544 L .80735 .38867 L p F P
0 g
s
.672 .728 .891 r
.52632 .34495 m .56067 .3878 L .62427 .36347 L p F P
0 g
s
.672 .728 .891 r
.56067 .3878 m .52632 .34495 L .46223 .3684 L p F P
0 g
s
.672 .728 .891 r
.28684 .3581 m .31315 .38627 L .36691 .35443 L p F P
0 g
s
0 0 0 r
.74581 .48958 m .69021 .54672 L .66448 .61643 L p F P
0 g
s
.219 0 .142 r
.59883 .66217 m .66448 .61643 L .69021 .54672 L p F P
0 g
s
.804 .402 .291 r
.35778 .54377 m .42444 .6378 L .4583 .61374 L p F P
0 g
s
.845 .389 .113 r
.42444 .6378 m .35778 .54377 L .33148 .52626 L p F P
0 g
s
.672 .728 .891 r
.78854 .36057 m .76915 .33161 L .71415 .37297 L p F P
0 g
s
.672 .728 .891 r
.68733 .33538 m .71415 .37297 L .76915 .33161 L p F P
0 g
s
.672 .728 .891 r
.71415 .37297 m .68733 .33538 L .62427 .36347 L p F P
0 g
s
.739 .367 .347 r
.52953 .65767 m .4583 .61374 L .42444 .6378 L p F P
0 g
s
.672 .728 .891 r
.42642 .32607 m .46223 .3684 L .52632 .34495 L p F P
0 g
s
.672 .728 .891 r
.46223 .3684 m .42642 .32607 L .36691 .35443 L p F P
0 g
s
.672 .728 .891 r
.59202 .32091 m .62427 .36347 L .68733 .33538 L p F P
0 g
s
.672 .728 .891 r
.62427 .36347 m .59202 .32091 L .52632 .34495 L p F P
0 g
s
.672 .728 .891 r
.76915 .33161 m .78854 .36057 L .79949 .24499 L closepath p F P
0 g
s
.932 .953 .63 r
.79262 .40544 m .74581 .48958 L .72429 .52904 L p F P
0 g
s
0 0 0 r
.66448 .61643 m .72429 .52904 L .74581 .48958 L p F P
0 g
s
.672 .728 .891 r
.36691 .35443 m .33278 .31608 L .28684 .3581 L p F P
0 g
s
.672 .728 .891 r
.25972 .32907 m .28684 .3581 L .33278 .31608 L p F P
0 g
s
.672 .728 .891 r
.33278 .31608 m .36691 .35443 L .42642 .32607 L p F P
0 g
s
.672 .728 .891 r
.49034 .30008 m .52632 .34495 L .59202 .32091 L p F P
0 g
s
.672 .728 .891 r
.52632 .34495 m .49034 .30008 L .42642 .32607 L p F P
0 g
s
.845 .389 .113 r
.33148 .52626 m .38945 .62686 L .42444 .6378 L p F P
0 g
s
0 0 .405 r
.38945 .62686 m .33148 .52626 L .30545 .49114 L p F P
0 g
s
.672 .728 .891 r
.76915 .33161 m .74916 .30175 L .68733 .33538 L p F P
0 g
s
.672 .728 .891 r
.65941 .29625 m .68733 .33538 L .74916 .30175 L p F P
0 g
s
.672 .728 .891 r
.68733 .33538 m .65941 .29625 L .59202 .32091 L p F P
0 g
s
.672 .728 .891 r
.74916 .30175 m .76915 .33161 L .79949 .24499 L closepath p F P
0 g
s
.986 .888 .553 r
.77612 .41335 m .79949 .24499 L .79262 .40544 L closepath p F P
0 g
s
.932 .953 .63 r
.72429 .52904 m .77612 .41335 L .79262 .40544 L p F P
0 g
s
.672 .728 .891 r
.33278 .31608 m .29724 .27615 L .25972 .32907 L p F P
0 g
s
.672 .728 .891 r
.23175 .29913 m .25972 .32907 L .29724 .27615 L p F P
0 g
s
.672 .728 .891 r
.38896 .28178 m .42642 .32607 L .49034 .30008 L p F P
0 g
s
.672 .728 .891 r
.42642 .32607 m .38896 .28178 L .33278 .31608 L p F P
0 g
s
.672 .728 .891 r
.55828 .27638 m .59202 .32091 L .65941 .29625 L p F P
0 g
s
.672 .728 .891 r
.59202 .32091 m .55828 .27638 L .49034 .30008 L p F P
0 g
s
.608 .248 .334 r
.59883 .66217 m .52953 .65767 L .4933 .72244 L p F P
0 g
s
.739 .367 .347 r
.42444 .6378 m .4933 .72244 L .52953 .65767 L p F P
0 g
s
0 0 .405 r
.30545 .49114 m .35499 .56911 L .38945 .62686 L p F P
0 g
s
0 .122 .648 r
.35499 .56911 m .30545 .49114 L .28007 .43942 L p F P
0 g
s
.672 .728 .891 r
.29724 .27615 m .33278 .31608 L .38896 .28178 L p F P
0 g
s
0 .122 .648 r
.28007 .43942 m .322 .47399 L .35499 .56911 L p F P
0 g
s
.185 .226 .672 r
.322 .47399 m .28007 .43942 L .25549 .3742 L p F P
0 g
s
.672 .728 .891 r
.72854 .27095 m .74916 .30175 L .79949 .24499 L closepath p F P
0 g
s
.672 .728 .891 r
.74916 .30175 m .72854 .27095 L .65941 .29625 L p F P
0 g
s
.672 .728 .891 r
.45263 .25305 m .49034 .30008 L .55828 .27638 L p F P
0 g
s
.672 .728 .891 r
.49034 .30008 m .45263 .25305 L .38896 .28178 L p F P
0 g
s
.672 .728 .891 r
.29724 .27615 m .26021 .23453 L .23175 .29913 L p F P
0 g
s
.286 .278 .675 r
.29048 .35868 m .25549 .3742 L .23175 .29913 L p F P
0 g
s
.286 .278 .675 r
.23175 .29913 m .26021 .23453 L .29048 .35868 L p F P
0 g
s
.185 .226 .672 r
.25549 .3742 m .29048 .35868 L .322 .47399 L p F P
0 g
s
.672 .728 .891 r
.63032 .25548 m .65941 .29625 L .72854 .27095 L p F P
0 g
s
.672 .728 .891 r
.65941 .29625 m .63032 .25548 L .55828 .27638 L p F P
0 g
s
.824 .399 .231 r
.4933 .72244 m .42444 .6378 L .38945 .62686 L p F P
0 g
s
0 0 0 r
.66448 .61643 m .59883 .66217 L .56503 .75641 L p F P
0 g
s
.608 .248 .334 r
.4933 .72244 m .56503 .75641 L .59883 .66217 L p F P
0 g
s
.672 .728 .891 r
.34973 .2354 m .38896 .28178 L .45263 .25305 L p F P
0 g
s
.672 .728 .891 r
.38896 .28178 m .34973 .2354 L .29724 .27615 L p F P
0 g
s
.985 .882 .64 r
.75759 .40836 m .79949 .24499 L .77612 .41335 L closepath p F P
0 g
s
.976 .903 .675 r
.77612 .41335 m .72429 .52904 L .69949 .55094 L p F P
0 g
s
.976 .903 .675 r
.69949 .55094 m .75759 .40836 L .77612 .41335 L p F P
0 g
s
.672 .728 .891 r
.52295 .22974 m .55828 .27638 L .63032 .25548 L p F P
0 g
s
.672 .728 .891 r
.55828 .27638 m .52295 .22974 L .45263 .25305 L p F P
0 g
s
.672 .728 .891 r
.26021 .23453 m .29724 .27615 L .34973 .2354 L p F P
0 g
s
.899 .943 .582 r
.72429 .52904 m .66448 .61643 L .63505 .68059 L p F P
0 g
s
.899 .943 .582 r
.63505 .68059 m .69949 .55094 L .72429 .52904 L p F P
0 g
s
.672 .728 .891 r
.70725 .23915 m .72854 .27095 L .79949 .24499 L closepath p F P
0 g
s
.672 .728 .891 r
.72854 .27095 m .70725 .23915 L .63032 .25548 L p F P
0 g
s
0 0 0 r
.56503 .75641 m .63505 .68059 L .66448 .61643 L p F P
0 g
s
.672 .728 .891 r
.59999 .21298 m .63032 .25548 L .70725 .23915 L p F P
0 g
s
.672 .728 .891 r
.63032 .25548 m .59999 .21298 L .52295 .22974 L p F P
0 g
s
.672 .728 .891 r
.41305 .20368 m .45263 .25305 L .52295 .22974 L p F P
0 g
s
.672 .728 .891 r
.45263 .25305 m .41305 .20368 L .34973 .2354 L p F P
0 g
s
.672 .728 .891 r
.68527 .20632 m .70725 .23915 L .79949 .24499 L closepath p F P
0 g
s
.672 .728 .891 r
.66256 .17239 m .68527 .20632 L .79949 .24499 L closepath p F P
0 g
s
.672 .728 .891 r
.63908 .13731 m .66256 .17239 L .79949 .24499 L closepath p F P
0 g
s
.949 .826 .688 r
.73694 .38679 m .79949 .24499 L .75759 .40836 L closepath p F P
0 g
s
.903 .753 .685 r
.71432 .34688 m .79949 .24499 L .73694 .38679 L closepath p F P
0 g
s
.876 .7 .661 r
.69014 .28972 m .79949 .24499 L .71432 .34688 L closepath p F P
0 g
s
.672 .728 .891 r
.70725 .23915 m .68527 .20632 L .59999 .21298 L p F P
0 g
s
.867 .672 .636 r
.6649 .21858 m .79949 .24499 L .69014 .28972 L closepath p F P
0 g
s
.672 .728 .891 r
.56834 .16862 m .59999 .21298 L .68527 .20632 L p F P
0 g
s
.672 .728 .891 r
.68527 .20632 m .66256 .17239 L .56834 .16862 L p F P
0 g
s
.672 .728 .891 r
.66256 .17239 m .63908 .13731 L .53527 .12229 L p F P
0 g
s
.672 .728 .891 r
.53527 .12229 m .56834 .16862 L .66256 .17239 L p F P
0 g
s
.868 .658 .616 r
.63908 .13731 m .79949 .24499 L .6649 .21858 L closepath p F P
0 g
s
.824 .399 .231 r
.38945 .62686 m .45401 .73886 L .4933 .72244 L p F P
0 g
s
0 .086 .639 r
.45401 .73886 m .38945 .62686 L .35499 .56911 L p F P
0 g
s
.672 .728 .891 r
.30861 .18678 m .34973 .2354 L .41305 .20368 L p F P
0 g
s
.672 .728 .891 r
.34973 .2354 m .30861 .18678 L .26021 .23453 L p F P
0 g
s
.462 .38 .678 r
.34282 .34319 m .29048 .35868 L .26021 .23453 L p F P
0 g
s
.462 .38 .678 r
.26021 .23453 m .30861 .18678 L .34282 .34319 L p F P
0 g
s
.672 .728 .891 r
.4859 .18085 m .52295 .22974 L .59999 .21298 L p F P
0 g
s
.672 .728 .891 r
.52295 .22974 m .4859 .18085 L .41305 .20368 L p F P
0 g
s
.949 .826 .688 r
.75759 .40836 m .69949 .55094 L .67078 .53679 L p F P
0 g
s
.949 .826 .688 r
.67078 .53679 m .73694 .38679 L .75759 .40836 L p F P
0 g
s
.415 .353 .68 r
.37827 .49968 m .322 .47399 L .29048 .35868 L p F P
0 g
s
.415 .353 .68 r
.29048 .35868 m .34282 .34319 L .37827 .49968 L p F P
0 g
s
.672 .728 .891 r
.59999 .21298 m .56834 .16862 L .4859 .18085 L p F P
0 g
s
0 .086 .639 r
.35499 .56911 m .41518 .64599 L .45401 .73886 L p F P
0 g
s
.316 .301 .684 r
.41518 .64599 m .35499 .56911 L .322 .47399 L p F P
0 g
s
.738 .385 .383 r
.56503 .75641 m .4933 .72244 L .45401 .73886 L p F P
0 g
s
.316 .301 .684 r
.322 .47399 m .37827 .49968 L .41518 .64599 L p F P
0 g
s
.672 .728 .891 r
.37146 .15181 m .41305 .20368 L .4859 .18085 L p F P
0 g
s
.672 .728 .891 r
.41305 .20368 m .37146 .15181 L .30861 .18678 L p F P
0 g
s
.967 .861 .682 r
.69949 .55094 m .63505 .68059 L .6007 .69569 L p F P
0 g
s
.967 .861 .682 r
.6007 .69569 m .67078 .53679 L .69949 .55094 L p F P
0 g
s
.895 .752 .697 r
.73694 .38679 m .67078 .53679 L .63853 .47445 L p F P
0 g
s
.895 .752 .697 r
.63853 .47445 m .71432 .34688 L .73694 .38679 L p F P
0 g
s
.558 .44 .675 r
.40818 .32075 m .34282 .34319 L .30861 .18678 L p F P
0 g
s
.558 .44 .675 r
.30861 .18678 m .37146 .15181 L .40818 .32075 L p F P
0 g
s
.672 .728 .891 r
.44702 .12953 m .4859 .18085 L .56834 .16862 L p F P
0 g
s
.672 .728 .891 r
.4859 .18085 m .44702 .12953 L .37146 .15181 L p F P
0 g
s
.672 .728 .891 r
.56834 .16862 m .53527 .12229 L .44702 .12953 L p F P
0 g
s
.833 .686 .7 r
.71432 .34688 m .63853 .47445 L .60433 .37374 L p F P
0 g
s
.833 .686 .7 r
.60433 .37374 m .69014 .28972 L .71432 .34688 L p F P
0 g
s
.545 .432 .675 r
.44618 .4956 m .37827 .49968 L .34282 .34319 L p F P
0 g
s
.545 .432 .675 r
.34282 .34319 m .40818 .32075 L .44618 .4956 L p F P
0 g
s
.977 .92 .643 r
.63505 .68059 m .56503 .75641 L .52632 .86433 L p F P
0 g
s
.977 .92 .643 r
.52632 .86433 m .6007 .69569 L .63505 .68059 L p F P
0 g
s
.627 .489 .675 r
.48428 .28948 m .40818 .32075 L .37146 .15181 L p F P
0 g
s
.627 .489 .675 r
.37146 .15181 m .44702 .12953 L .48428 .28948 L p F P
0 g
s
.738 .385 .383 r
.45401 .73886 m .52632 .86433 L .56503 .75641 L p F P
0 g
s
.78 .633 .698 r
.69014 .28972 m .60433 .37374 L .56965 .25244 L p F P
0 g
s
.78 .633 .698 r
.56965 .25244 m .6649 .21858 L .69014 .28972 L p F P
0 g
s
.741 .595 .693 r
.53527 .12229 m .63908 .13731 L .6649 .21858 L p F P
0 g
s
.741 .595 .693 r
.6649 .21858 m .56965 .25244 L .53527 .12229 L p F P
0 g
s
.685 .537 .679 r
.56965 .25244 m .48428 .28948 L .44702 .12953 L p F P
0 g
s
.685 .537 .679 r
.44702 .12953 m .53527 .12229 L .56965 .25244 L p F P
0 g
s
.862 .72 .704 r
.67078 .53679 m .6007 .69569 L .56198 .59978 L p F P
0 g
s
.862 .72 .704 r
.56198 .59978 m .63853 .47445 L .67078 .53679 L p F P
0 g
s
.521 .416 .676 r
.48553 .67668 m .41518 .64599 L .37827 .49968 L p F P
0 g
s
.521 .416 .676 r
.37827 .49968 m .44618 .4956 L .48553 .67668 L p F P
0 g
s
.454 .371 .673 r
.52632 .86433 m .45401 .73886 L .41518 .64599 L p F P
0 g
s
.638 .499 .677 r
.52268 .44971 m .44618 .4956 L .40818 .32075 L p F P
0 g
s
.638 .499 .677 r
.40818 .32075 m .48428 .28948 L .52268 .44971 L p F P
0 g
s
.454 .371 .673 r
.41518 .64599 m .48553 .67668 L .52632 .86433 L p F P
0 g
s
.714 .565 .685 r
.48428 .28948 m .56965 .25244 L .60433 .37374 L p F P
0 g
s
.766 .618 .695 r
.63853 .47445 m .56198 .59978 L .52268 .44971 L p F P
0 g
s
.766 .618 .695 r
.52268 .44971 m .60433 .37374 L .63853 .47445 L p F P
0 g
s
.714 .565 .685 r
.60433 .37374 m .52268 .44971 L .48428 .28948 L p F P
0 g
s
.663 .525 .686 r
.56198 .59978 m .48553 .67668 L .44618 .4956 L p F P
0 g
s
.663 .525 .686 r
.44618 .4956 m .52268 .44971 L .56198 .59978 L p F P
0 g
s
.754 .635 .729 r
.6007 .69569 m .52632 .86433 L .48553 .67668 L p F P
0 g
s
.754 .635 .729 r
.48553 .67668 m .56198 .59978 L .6007 .69569 L p F P
0 g
s
.25 Mabswid
.67245 0 m
.92713 .41497 L
s
.92713 .41497 m
1 .94814 L
s
1 .94814 m
.70644 .58546 L
s
.70644 .58546 m
.67245 0 L
s
.08846 .24555 m
0 .80374 L
s
0 .80374 m
.70644 .58546 L
s
.70644 .58546 m
.67245 0 L
s
.67245 0 m
.08846 .24555 L
s
.08846 .24555 m
.67245 0 L
s
.18535 .20481 m
.19026 .21019 L
s
[(-2)] .17551 .19405 .91368 1 Mshowa
.36358 .12987 m
.36813 .13557 L
s
[(0)] .3545 .11847 .79718 1 Mshowa
.5554 .04922 m
.5595 .05524 L
s
[(2)] .5472 .03717 .68069 1 Mshowa
.125 Mabswid
.22871 .18658 m
.23161 .18985 L
s
.27286 .16802 m
.2757 .17134 L
s
.31781 .14912 m
.3206 .15249 L
s
.41021 .11027 m
.41287 .11373 L
s
.4577 .0903 m
.4603 .09381 L
s
.50609 .06995 m
.50862 .07352 L
s
.14274 .22273 m
.14574 .22591 L
s
.10087 .24033 m
.10392 .24347 L
s
.60566 .02809 m
.60804 .03175 L
s
.65689 .00654 m
.6592 .01026 L
s
.25 Mabswid
0 .80374 m
.40037 1.0855 L
s
.08695 .86493 m
.08789 .8577 L
s
[(-2)] .08508 .87939 .1299 -1 Mshowa
.22183 .95985 m
.22246 .95259 L
s
[(0)] .22056 .97437 .08756 -1 Mshowa
.33938 1.04257 m
.33976 1.03529 L
s
[(2)] .33861 1.05713 .05251 -1 Mshowa
.125 Mabswid
.1225 .88995 m
.12302 .88561 L
s
.15679 .91408 m
.15726 .90973 L
s
.18988 .93736 m
.1903 .93301 L
s
.2527 .98157 m
.25304 .97722 L
s
.28255 1.00258 m
.28286 .99822 L
s
.31143 1.0229 m
.31169 1.01854 L
s
.05007 .83897 m
.05068 .83465 L
s
.01178 .81203 m
.01244 .8077 L
s
.36644 1.06162 m
.36664 1.05725 L
s
.39267 1.08007 m
.39283 1.0757 L
s
% End of Graphics
MathPictureEnd
\
\>"], "Graphics",
 ImageSize->{265.312, 287.938},
 ImageMargins->{{43, 0}, {0, 0}},
 ImageRegion->{{0, 1}, {0, 
  1}},ImageCache->GraphicsData["CompressedBitmap", "\<\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\
\>"],ImageRangeCache->{{{0., 264.312}, {286.938, 0.}} -> {0.0187259, \
-0.0133396, 0.00335776, \
0.00335776}},ExpressionUUID->"4b1d1fa4-2a68-4405-8d12-bd9459417873"],

Cell[BoxData[
 TagBox[
  RowBox[{"\[SkeletonIndicator]", "Graphics3D", "\[SkeletonIndicator]"}],
  False,
  Editable->False]], "Output",ExpressionUUID->"ed1584b6-c879-4135-9d45-\
5c3d29beee34"]
}, Open  ]]
}, Closed]],

Cell[CellGroupData[{

Cell["ImplicitPlot3D", "Subsection",ExpressionUUID->"a65e0d99-47d4-4c66-9c7f-5f569387edef"],

Cell[BoxData[
 RowBox[{"<<", "ImplicitPlot3D`"}]], "Input",ExpressionUUID->"1b0d41af-169a-4e18-a525-7817815aa3d9"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"With", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"c", "=", "1"}], "}"}], ",", "\[IndentingNewLine]", 
   RowBox[{"ImplicitPlot3D", "[", 
    RowBox[{
     RowBox[{
      RowBox[{
       RowBox[{"(", 
        RowBox[{
         RowBox[{"x", "^", "2"}], "+", 
         RowBox[{"y", "^", "2"}]}], ")"}], "/", 
       RowBox[{"c", "^", "2"}]}], "\[Equal]", 
      RowBox[{"z", "^", "2"}]}], ",", 
     RowBox[{"{", 
      RowBox[{"x", ",", 
       RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"y", ",", 
       RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"z", ",", 
       RowBox[{"-", "1"}], ",", "0"}], "}"}], ",", 
     RowBox[{"Boxed", "\[Rule]", "False"}], ",", 
     RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]}], 
  "\[IndentingNewLine]", "]"}]], "Input",ExpressionUUID->"116b4fe0-ebf5-46a7-\
80b4-03fed3bb28cc"],

Cell[GraphicsData["PostScript", "\<\
%!
%%Creator: Mathematica
%%AspectRatio: .76376 
MathPictureStart
/Mabs {
Mgmatrix idtransform
Mtmatrix dtransform
} bind def
/Mabsadd { Mabs
3 -1 roll add
3 1 roll add
exch } bind def
%% Graphics3D
%%IncludeResource: font Courier
%%IncludeFont: Courier
/Courier findfont 10  scalefont  setfont
% Scaling calculations
0 1.04935 -0.0912437 1.04935 [
[ 0 0 0 0 ]
[ 1 .76376 0 0 ]
] MathScale
% Start of Graphics
1 setlinecap
1 setlinejoin
newpath
0 0 m
1 0 L
1 .76376 L
0 .76376 L
closepath
clip
newpath
.5 Mabswid
[ ] 0 setdash
.62562 .53428 m .56848 .53657 L .55005 .53838 L p .226 0 0 r
F P
0 g
s
.62416 .53495 m .62562 .53428 L p .55005 .53838 L .226 0 0 r
F P
0 g
s
.55005 .53838 m .53856 .54332 L .62416 .53495 L p .226 0 0 r
F P
0 g
s
.53856 .54332 m .55005 .53838 L .45291 .53341 L p .457 0 0 r
F P
0 g
s
.56848 .53657 m .6323 .52748 L .62562 .53428 L closepath p .388 0 0 r
F P
0 g
s
.44637 .53863 m .53856 .54332 L p .45291 .53341 L .457 0 0 r
F P
0 g
s
.45291 .53341 m .44197 .53763 L .44637 .53863 L p .457 0 0 r
F P
0 g
s
.42395 .52864 m .45291 .53341 L .44197 .53763 L closepath p .607 .094 .003 r
F P
0 g
s
.44197 .53763 m .42395 .52864 L .33451 .50265 L p .533 0 0 r
F P
0 g
s
.70023 .51215 m .70632 .50546 L .6323 .52748 L p .198 0 0 r
F P
0 g
s
.6323 .52748 m .62562 .53428 L .70023 .51215 L p .198 0 0 r
F P
0 g
s
.61418 .54079 m .62416 .53495 L .53856 .54332 L p .293 0 0 r
F P
0 g
s
.53856 .54332 m .52762 .54923 L .61418 .54079 L p .293 0 0 r
F P
0 g
s
.52762 .54923 m .53856 .54332 L .44637 .53863 L p .503 0 0 r
F P
0 g
s
.43934 .53747 m .44197 .53763 L .44637 .53863 L closepath p .273 0 0 r
F P
0 g
s
.43934 .53747 m .44197 .53763 L p .33451 .50265 L .533 0 0 r
F P
0 g
s
.44637 .53863 m .47635 .54663 L .52762 .54923 L p .503 0 0 r
F P
0 g
s
.47635 .54663 m .44637 .53863 L .43934 .53747 L p .356 0 0 r
F P
0 g
s
.62416 .53495 m .62562 .53428 L .70023 .51215 L p 0 0 0 r
F P
0 g
s
.43934 .53747 m .42124 .53761 L .47635 .54663 L p .356 0 0 r
F P
0 g
s
.42124 .53761 m .43934 .53747 L .35495 .51301 L p .587 .024 0 r
F P
0 g
s
.33451 .50265 m .35495 .51301 L .43934 .53747 L p .533 0 0 r
F P
0 g
s
.68966 .51845 m .69887 .5128 L .62416 .53495 L p 0 0 0 r
F P
0 g
s
.62416 .53495 m .61418 .54079 L .68966 .51845 L p 0 0 0 r
F P
0 g
s
.69887 .5128 m .68966 .51845 L .6937 .51616 L p 0 0 0 r
F P
0 g
s
.70023 .51215 m .69887 .5128 L p .69957 .51235 L 0 0 0 r
F P
0 g
s
.75887 .47961 m .70632 .50546 L .70023 .51215 L closepath p 0 0 0 r
F P
0 g
s
.69887 .5128 m .70023 .51215 L .75887 .47961 L p .392 .825 .671 r
F P
0 g
s
.76414 .47574 m .69887 .5128 L p .76883 .4739 L .392 .825 .671 r
F P
0 g
s
.77325 .47145 m .76414 .47574 L p .76883 .4739 L .392 .825 .671 r
F P
0 g
s
.75554 .48106 m .76414 .47574 L .75998 .4781 L p 0 0 0 r
F P
0 g
s
.75998 .4781 m .69887 .5128 L p .75554 .48106 L 0 0 0 r
F P
0 g
s
.75887 .47961 m .77325 .47145 L p .69887 .5128 L .392 .825 .671 r
F P
0 g
s
.74746 .48742 m .75554 .48106 L .75133 .48344 L p 0 0 0 r
F P
0 g
s
.75133 .48344 m .68966 .51845 L p .74746 .48742 L 0 0 0 r
F P
0 g
s
.74746 .48742 m .74487 .48999 L .7463 .48862 L p 0 0 0 r
F P
0 g
s
.75554 .48106 m .74746 .48742 L p .75147 .48376 L .535 .863 .584 r
F P
0 g
s
.6937 .51616 m .75554 .48106 L p .69887 .5128 L 0 0 0 r
F P
0 g
s
.75449 .48075 m .78464 .45341 L p .76867 .46802 L .535 .863 .584 r
F P
0 g
s
.74746 .48742 m .75449 .48075 L p .76867 .46802 L .535 .863 .584 r
F P
0 g
s
.68966 .51845 m .681 .52511 L .74746 .48742 L p 0 0 0 r
F P
0 g
s
.74487 .48999 m .74746 .48742 L .681 .52511 L p 0 0 0 r
F P
0 g
s
.772 .43717 m .74546 .48884 L .75449 .48075 L .803 1 .816 r
F
.7463 .48862 m .75449 .48075 L .74746 .48742 L p 0 0 0 r
F P
0 g
s
.74487 .48999 m .75449 .48075 L p .74546 .48884 L .803 1 .816 r
F P
0 g
s
.78464 .45341 m .75554 .48106 L p .75147 .48376 L .535 .863 .584 r
F P
0 g
s
.76414 .47574 m .75554 .48106 L p .75934 .47762 L .585 .908 .66 r
F P
0 g
s
.81734 .42529 m .76414 .47574 L p .75934 .47762 L .585 .908 .66 r
F P
0 g
s
.69887 .5128 m .62416 .53495 L p .69957 .51235 L 0 0 0 r
F P
0 g
s
.35495 .51301 m .33451 .50265 L .3197 .49521 L p .325 0 0 r
F P
0 g
s
.60475 .54763 m .61418 .54079 L .52762 .54923 L p .353 0 0 r
F P
0 g
s
.52762 .54923 m .51724 .55613 L .60475 .54763 L p .353 0 0 r
F P
0 g
s
.51724 .55613 m .52762 .54923 L .47635 .54663 L p .542 .041 .015 r
F P
0 g
s
.28596 .47837 m .35495 .51301 L p .3197 .49521 L .325 0 0 r
F P
0 g
s
.3197 .49521 m .28359 .47716 L p .28596 .47837 L .325 0 0 r
F P
0 g
s
.27035 .46659 m .3197 .49521 L .28315 .47694 L closepath p .592 .026 0 r
F P
0 g
s
.37427 .52404 m .35495 .51301 L .28596 .47837 L p .415 0 0 r
F P
0 g
s
.28596 .47837 m .23826 .43412 L p .30118 .4861 L 0 .338 .8 r
F P
0 g
s
.30505 .4893 m .37427 .52404 L p .29121 .48108 L .415 0 0 r
F P
0 g
s
.28596 .47837 m .30505 .4893 L p .29121 .48108 L .415 0 0 r
F P
0 g
s
.39242 .53572 m .37427 .52404 L .30505 .4893 L p .502 0 0 r
F P
0 g
s
.32296 .50092 m .39242 .53572 L p .31024 .49206 L .502 0 0 r
F P
0 g
s
.30505 .4893 m .32296 .50092 L p .31024 .49206 L .502 0 0 r
F P
0 g
s
.39827 .54 m .39242 .53572 L .32296 .50092 L p .584 .01 0 r
F P
0 g
s
.37703 .53194 m .39827 .54 L p .32296 .50092 L .584 .01 0 r
F P
0 g
s
.33963 .51325 m .37703 .53194 L p .32866 .5042 L .584 .01 0 r
F P
0 g
s
.32296 .50092 m .33963 .51325 L p .32866 .5042 L .584 .01 0 r
F P
0 g
s
.33963 .51325 m .37703 .53194 L .35208 .52378 L closepath p .655 .099 0 r
F P
0 g
s
.33963 .51325 m .35208 .52378 L p .34924 .52117 L 0 .099 .589 r
F P
0 g
s
.29203 .4687 m .33963 .51325 L p .34924 .52117 L 0 .099 .589 r
F P
0 g
s
.32296 .50092 m .27533 .45645 L p .33591 .50996 L 0 .19 .676 r
F P
0 g
s
.33963 .51325 m .32296 .50092 L p .33591 .50996 L 0 .19 .676 r
F P
0 g
s
.30505 .4893 m .25739 .44492 L p .31916 .49768 L 0 .27 .746 r
F P
0 g
s
.32296 .50092 m .30505 .4893 L p .31916 .49768 L 0 .27 .746 r
F P
0 g
s
.30505 .4893 m .28596 .47837 L p .30118 .4861 L 0 .338 .8 r
F P
0 g
s
.28359 .47716 m .28315 .47694 L .28596 .47837 L p .325 0 0 r
F P
0 g
s
.47635 .54663 m .50468 .55549 L .51724 .55613 L p .542 .041 .015 r
F P
0 g
s
.50468 .55549 m .47635 .54663 L .42124 .53761 L p .433 0 0 r
F P
0 g
s
.681 .52511 m .68966 .51845 L .61418 .54079 L p .074 0 0 r
F P
0 g
s
.61418 .54079 m .60475 .54763 L .681 .52511 L p .074 0 0 r
F P
0 g
s
.35495 .51301 m .37427 .52404 L .42124 .53761 L p .587 .024 0 r
F P
0 g
s
.42124 .53761 m .40394 .53904 L .50468 .55549 L p .433 0 0 r
F P
0 g
s
.40394 .53904 m .42124 .53761 L .37427 .52404 L p .634 .093 0 r
F P
0 g
s
.59592 .55548 m .60475 .54763 L .51724 .55613 L p .406 0 0 r
F P
0 g
s
.54882 .56004 m .59592 .55548 L p .51724 .55613 L .406 0 0 r
F P
0 g
s
.51724 .55613 m .51387 .55886 L .54882 .56004 L p .406 0 0 r
F P
0 g
s
.50468 .55549 m .51724 .55613 L .51387 .55886 L closepath p .575 .099 .087 r
F P
0 g
s
.51387 .55886 m .50468 .55549 L .40394 .53904 L p .502 0 0 r
F P
0 g
s
.37427 .52404 m .39242 .53572 L .40394 .53904 L p .634 .093 0 r
F P
0 g
s
.50428 .56084 m .51387 .55886 L .54882 .56004 L closepath p .188 0 0 r
F P
0 g
s
.50428 .56084 m .51387 .55886 L p .40394 .53904 L .502 0 0 r
F P
0 g
s
.8222 .4213 m .82965 .4181 L .77325 .47145 L p .625 .941 .724 r
F P
0 g
s
.81734 .42529 m .8222 .4213 L p .77325 .47145 L .625 .941 .724 r
F P
0 g
s
.77325 .47145 m .76414 .47574 L .81734 .42529 L p .625 .941 .724 r
F P
0 g
s
.6729 .53282 m .681 .52511 L .60475 .54763 L p .149 0 0 r
F P
0 g
s
.60475 .54763 m .59592 .55548 L .6729 .53282 L p .149 0 0 r
F P
0 g
s
.22265 .42243 m .27035 .46659 L .28315 .47694 L p 0 .129 .618 r
F P
0 g
s
.41511 .54632 m .50428 .56084 L p .40394 .53904 L .502 0 0 r
F P
0 g
s
.40051 .53962 m .39827 .54 L .41511 .54632 L p .502 0 0 r
F P
0 g
s
.39242 .53572 m .40394 .53904 L .39827 .54 L closepath p .674 .157 0 r
F P
0 g
s
.37703 .53194 m .39827 .54 L .41511 .54632 L closepath p 0 .34 .665 r
F P
0 g
s
.41511 .54632 m .37703 .53194 L p .43172 .55395 L .359 0 0 r
F P
0 g
s
.43902 .55689 m .41511 .54632 L p .43172 .55395 L .359 0 0 r
F P
0 g
s
.40394 .53904 m .40051 .53962 L p .41511 .54632 L .502 0 0 r
F P
0 g
s
.58928 .56267 m .54882 .56004 L .50428 .56084 L p .282 0 0 r
F P
0 g
s
.58688 .56352 m .58928 .56267 L p .50428 .56084 L .282 0 0 r
F P
0 g
s
.50428 .56084 m .49055 .56524 L .58688 .56352 L p .282 0 0 r
F P
0 g
s
.49055 .56524 m .50428 .56084 L .41511 .54632 L p .561 .019 0 r
F P
0 g
s
.54882 .56004 m .59592 .55548 L .58928 .56267 L closepath p .452 0 .042 r
F P
0 g
s
.28596 .47837 m .28315 .47694 L .23543 .43272 L p 0 .395 .842 r
F P
0 g
s
.28315 .47694 m .23543 .43272 L .22265 .42243 L p 0 .129 .618 r
F P
0 g
s
.23543 .43272 m .23826 .43412 L .28596 .47837 L p 0 .395 .842 r
F P
0 g
s
.66686 .53991 m .6729 .53282 L .59592 .55548 L p .218 0 0 r
F P
0 g
s
.59592 .55548 m .58928 .56267 L .66686 .53991 L p .218 0 0 r
F P
0 g
s
.70815 .51287 m .74487 .48999 L p .681 .52511 L 0 0 0 r
F P
0 g
s
.681 .52511 m .6729 .53282 L .70815 .51287 L p 0 0 0 r
F P
0 g
s
.41511 .54632 m .43902 .55689 L .49055 .56524 L p .561 .019 0 r
F P
0 g
s
.23826 .43412 m .25739 .44492 L .30505 .4893 L p 0 .338 .8 r
F P
0 g
s
.58688 .56352 m .58928 .56267 L .66686 .53991 L p 0 0 0 r
F P
0 g
s
.57533 .56933 m .58688 .56352 L .49055 .56524 L p .369 0 0 r
F P
0 g
s
.49055 .56524 m .47777 .57108 L .57533 .56933 L p .369 0 0 r
F P
0 g
s
.47777 .57108 m .49055 .56524 L .43902 .55689 L p .61 .098 .008 r
F P
0 g
s
.64419 .55341 m .65393 .54631 L .64896 .54776 L p .056 0 0 r
F P
0 g
s
.64896 .54776 m .57533 .56933 L p .64419 .55341 L .056 0 0 r
F P
0 g
s
.64419 .55341 m .63547 .56207 L p .63968 .55877 L 0 0 0 r
F P
0 g
s
.65393 .54631 m .64419 .55341 L .648 .55058 L p .428 .813 .575 r
F P
0 g
s
.6597 .54215 m .58688 .56352 L p .65393 .54631 L 0 0 0 r
F P
0 g
s
.58688 .56352 m .57533 .56933 L .65393 .54631 L p 0 0 0 r
F P
0 g
s
.66463 .5407 m .58688 .56352 L p .6659 .54019 L 0 0 0 r
F P
0 g
s
.66686 .53991 m .66463 .5407 L p .6659 .54019 L 0 0 0 r
F P
0 g
s
.65393 .54631 m .66463 .5407 L .6597 .54215 L p 0 0 0 r
F P
0 g
s
.66463 .5407 m .65393 .54631 L .65771 .54349 L p .506 .884 .688 r
F P
0 g
s
.70815 .51287 m .6729 .53282 L .66686 .53991 L closepath p 0 0 0 r
F P
0 g
s
.65771 .54349 m .71589 .50015 L p .66463 .5407 L .506 .884 .688 r
F P
0 g
s
.648 .55058 m .68283 .52463 L p .65393 .54631 L .428 .813 .575 r
F P
0 g
s
.68283 .52463 m .69072 .51875 L p .68613 .52219 L .428 .813 .575 r
F P
0 g
s
.65393 .54631 m .68283 .52463 L .68613 .52219 L .428 .813 .575 r
F
.67362 .53216 m .64419 .55341 L .63968 .55877 L 0 0 0 r
F
.71104 .50369 m .71589 .50015 L .70994 .50459 L p .428 .813 .575 r
F P
0 g
s
.70994 .50459 m .65393 .54631 L p .69865 .51293 L .428 .813 .575 r
F P
0 g
s
.69865 .51293 m .71104 .50369 L .70994 .50459 L .428 .813 .575 r
F
.66267 .50783 m .65351 .54631 L .68404 .49842 L .807 .996 .859 r
F
.69072 .51875 m .71104 .50369 L p .70818 .50582 L .428 .813 .575 r
F P
0 g
s
.65393 .54631 m .69072 .51875 L .70818 .50582 L .428 .813 .575 r
F
.6553 .54514 m .64419 .55341 L p .65502 .5456 L 0 0 0 r
F P
0 g
s
.6553 .54514 m .65502 .5456 L .67362 .53216 L 0 0 0 r
F
.68283 .52463 m .6553 .54514 L p .67362 .53216 L F P
0 g
s
.69072 .51875 m .68283 .52463 L p .67362 .53216 L 0 0 0 r
F P
0 g
s
.65283 .54915 m .69072 .51875 L p .67362 .53216 L 0 0 0 r
F P
0 g
s
.63547 .56207 m .65283 .54915 L p .67362 .53216 L 0 0 0 r
F P
0 g
s
.57533 .56933 m .56477 .57663 L .64419 .55341 L p .056 0 0 r
F P
0 g
s
.63547 .56207 m .64419 .55341 L .56477 .57663 L p .162 0 0 r
F P
0 g
s
.56477 .57663 m .55524 .58543 L .63547 .56207 L p .162 0 0 r
F P
0 g
s
.63019 .56913 m .63547 .56207 L .55524 .58543 L p .256 0 0 r
F P
0 g
s
.65283 .54915 m .63547 .56207 L .63019 .56913 L closepath p 0 0 0 r
F P
0 g
s
.63505 .55996 m .63157 .56653 L .65351 .54631 L .807 .996 .859 r
F
.63157 .56653 m .63019 .56913 L .63932 .56019 L F
.63157 .56653 m .63932 .56019 L .65351 .54631 L F
.69072 .51875 m .65283 .54915 L .65547 .54486 L p .803 .983 .894 r
F P
0 g
s
.65547 .54486 m .68404 .49842 L p .69072 .51875 L .803 .983 .894 r
F P
0 g
s
.65283 .54915 m .65547 .54486 L p .65351 .54631 L .807 .996 .859 r
F P
0 g
s
.65547 .54486 m .68404 .49842 L p .65351 .54631 L .807 .996 .859 r
F P
0 g
s
.65351 .54631 m .63932 .56019 L .65283 .54915 L .807 .996 .859 r
F
.63019 .56913 m .65283 .54915 L p .63932 .56019 L F P
0 g
s
.66267 .50783 m .63505 .55996 L .65351 .54631 L .807 .996 .859 r
F
.75554 .48106 m .78464 .45341 L .81734 .42529 L p .585 .908 .66 r
F P
0 g
s
.3566 .52578 m .43902 .55689 L p .37703 .53194 L .359 0 0 r
F P
0 g
s
.37703 .53194 m .35271 .52398 L p .3566 .52578 L .359 0 0 r
F P
0 g
s
.46103 .56838 m .43902 .55689 L .3566 .52578 L p .47 0 0 r
F P
0 g
s
.37824 .53719 m .46103 .56838 L p .3628 .52831 L .47 0 0 r
F P
0 g
s
.3566 .52578 m .37824 .53719 L p .3628 .52831 L .47 0 0 r
F P
0 g
s
.47158 .57492 m .46103 .56838 L .37824 .53719 L p .571 0 0 r
F P
0 g
s
.46055 .5731 m .47158 .57492 L p .37824 .53719 L .571 0 0 r
F P
0 g
s
.39788 .54956 m .46055 .5731 L p .3846 .53996 L .571 0 0 r
F P
0 g
s
.37824 .53719 m .39788 .54956 L p .3846 .53996 L .571 0 0 r
F P
0 g
s
.43927 .57181 m .46055 .5731 L .39788 .54956 L p .655 .105 0 r
F P
0 g
s
.41544 .5629 m .43927 .57181 L p .40538 .55359 L .655 .105 0 r
F P
0 g
s
.39788 .54956 m .41544 .5629 L p .40538 .55359 L .655 .105 0 r
F P
0 g
s
.41544 .5629 m .43927 .57181 L .42608 .57278 L closepath p .72 .208 .005 r
F P
0 g
s
.41544 .5629 m .42608 .57278 L p .42372 .57056 L 0 .036 .528 r
F P
0 g
s
.36809 .51801 m .41544 .5629 L p .42372 .57056 L 0 .036 .528 r
F P
0 g
s
.39788 .54956 m .35048 .50471 L p .41168 .55953 L 0 .174 .662 r
F P
0 g
s
.41544 .5629 m .39788 .54956 L p .41168 .55953 L 0 .174 .662 r
F P
0 g
s
.37824 .53719 m .33076 .49244 L p .39399 .54625 L 0 .287 .76 r
F P
0 g
s
.39788 .54956 m .37824 .53719 L p .39399 .54625 L 0 .287 .76 r
F P
0 g
s
.3566 .52578 m .30902 .48117 L p .37423 .53395 L 0 .376 .828 r
F P
0 g
s
.37824 .53719 m .3566 .52578 L p .37423 .53395 L 0 .376 .828 r
F P
0 g
s
.35271 .52398 m .35208 .52378 L .3566 .52578 L p .359 0 0 r
F P
0 g
s
.43902 .55689 m .46103 .56838 L .47777 .57108 L p .61 .098 .008 r
F P
0 g
s
.22265 .42243 m .19796 .38133 L .23543 .43272 L closepath p 0 .24 .755 r
F P
0 g
s
.25739 .44492 m .27533 .45645 L .32296 .50092 L p 0 .27 .746 r
F P
0 g
s
.84199 .39964 m .82965 .4181 L .8222 .4213 L closepath p .77 .98 .719 r
F P
0 g
s
.66463 .5407 m .66686 .53991 L .70815 .51287 L p .566 .929 .773 r
F P
0 g
s
.23543 .43272 m .23826 .43412 L p .19218 .36901 L .177 .431 .864 r
F P
0 g
s
.19218 .36901 m .19796 .38133 L .23543 .43272 L p .177 .431 .864 r
F P
0 g
s
.56477 .57663 m .57533 .56933 L .47777 .57108 L p .444 0 0 r
F P
0 g
s
.49068 .57794 m .56477 .57663 L p .47777 .57108 L .444 0 0 r
F P
0 g
s
.47328 .57387 m .47158 .57492 L .49068 .57794 L p .444 0 0 r
F P
0 g
s
.46103 .56838 m .47777 .57108 L .47158 .57492 L closepath p .649 .169 .099 r
F P
0 g
s
.46055 .5731 m .47158 .57492 L .49068 .57794 L closepath p 0 .484 .705 r
F P
0 g
s
.49068 .57794 m .46055 .5731 L p .51372 .58334 L .254 0 0 r
F P
0 g
s
.52713 .58593 m .49068 .57794 L p .51372 .58334 L .254 0 0 r
F P
0 g
s
.47777 .57108 m .47328 .57387 L p .49068 .57794 L .444 0 0 r
F P
0 g
s
.25739 .44492 m .23826 .43412 L .21285 .37888 L p .13 .396 .847 r
F P
0 g
s
.23826 .43412 m .21285 .37888 L .19218 .36901 L p .177 .431 .864 r
F P
0 g
s
.71589 .50015 m .72605 .49501 L .66463 .5407 L p .506 .884 .688 r
F P
0 g
s
.7371 .4914 m .72605 .49501 L .66463 .5407 L p .566 .929 .773 r
F P
0 g
s
.70815 .51287 m .7371 .4914 L p .66463 .5407 L .566 .929 .773 r
F P
0 g
s
.27533 .45645 m .29203 .4687 L .33963 .51325 L p 0 .19 .676 r
F P
0 g
s
.70815 .51287 m .7371 .4914 L .74487 .48999 L closepath p .609 .954 .835 r
F P
0 g
s
.8222 .4213 m .84199 .39964 L .86347 .33413 L p .882 .976 .834 r
F P
0 g
s
.75449 .48075 m .79478 .41873 L p .772 .43717 L .803 1 .816 r
F P
0 g
s
.78464 .45341 m .75449 .48075 L .79478 .41873 L p .808 .998 .848 r
F P
0 g
s
.79478 .41873 m .80719 .41908 L .78464 .45341 L p .808 .998 .848 r
F P
0 g
s
.81734 .42529 m .78464 .45341 L .80719 .41908 L p .809 .993 .871 r
F P
0 g
s
.772 .43717 m .7371 .4914 L .74487 .48999 L p .803 1 .816 r
F P
0 g
s
.80719 .41908 m .82028 .42086 L .81734 .42529 L p .809 .993 .871 r
F P
0 g
s
.81734 .42529 m .82028 .42086 L .8222 .4213 L closepath p .808 .985 .889 r
F P
0 g
s
.82028 .42086 m .8222 .4213 L p .86347 .33413 L .882 .976 .834 r
F P
0 g
s
.8397 .3601 m .82028 .42086 L .80719 .41908 L p .888 .982 .815 r
F P
0 g
s
.86347 .33413 m .8397 .3601 L .82028 .42086 L p .882 .976 .834 r
F P
0 g
s
.3566 .52578 m .35208 .52378 L .30447 .47919 L p .041 .445 .875 r
F P
0 g
s
.35208 .52378 m .30447 .47919 L .29203 .4687 L p 0 .099 .589 r
F P
0 g
s
.27533 .45645 m .25739 .44492 L .23234 .3895 L p .075 .354 .825 r
F P
0 g
s
.21285 .37888 m .23234 .3895 L .25739 .44492 L p .13 .396 .847 r
F P
0 g
s
.30447 .47919 m .30902 .48117 L .3566 .52578 L p .041 .445 .875 r
F P
0 g
s
.55524 .58543 m .56477 .57663 L .49068 .57794 L p .505 .02 .037 r
F P
0 g
s
.49068 .57794 m .52713 .58593 L .55524 .58543 L p .505 .02 .037 r
F P
0 g
s
.772 .43717 m .7371 .4914 L .72605 .49501 L p .793 .995 .774 r
F P
0 g
s
.46055 .5731 m .43927 .57181 L .52713 .58593 L p .254 0 0 r
F P
0 g
s
.25061 .40086 m .27533 .45645 L .29203 .4687 L p .011 .303 .796 r
F P
0 g
s
.23234 .3895 m .25061 .40086 L .27533 .45645 L p .075 .354 .825 r
F P
0 g
s
.30902 .48117 m .33076 .49244 L .37824 .53719 L p 0 .376 .828 r
F P
0 g
s
.1901 .30122 m .19218 .36901 L .21285 .37888 L p .288 .425 .826 r
F P
0 g
s
.52713 .58593 m .55524 .58543 L .54944 .59256 L closepath p .554 .107 .143 r
F P
0 g
s
.54944 .59256 m .52713 .58593 L .43927 .57181 L p .402 0 0 r
F P
0 g
s
.81764 .38558 m .80719 .41908 L .79478 .41873 L p .893 .986 .792 r
F P
0 g
s
.80719 .41908 m .81764 .38558 L .8397 .3601 L p .888 .982 .815 r
F P
0 g
s
.55524 .58543 m .54944 .59256 L .63019 .56913 L p .256 0 0 r
F P
0 g
s
.29203 .4687 m .27925 .43954 L .30447 .47919 L closepath p 0 .244 .759 r
F P
0 g
s
.29203 .4687 m .27925 .43954 L p .25061 .40086 L .011 .303 .796 r
F P
0 g
s
.74581 .46406 m .72605 .49501 L .71589 .50015 L p .774 .98 .717 r
F P
0 g
s
.72605 .49501 m .74581 .46406 L .772 .43717 L p .793 .995 .774 r
F P
0 g
s
.33076 .49244 m .35048 .50471 L .39788 .54956 L p 0 .287 .76 r
F P
0 g
s
.23203 .35486 m .2116 .31518 L .21285 .37888 L p .258 .398 .814 r
F P
0 g
s
.21285 .37888 m .23234 .3895 L .23203 .35486 L p .258 .398 .814 r
F P
0 g
s
.21285 .37888 m .2116 .31518 L p .1901 .30122 L .288 .425 .826 r
F P
0 g
s
.54417 .5931 m .54944 .59256 L p .43927 .57181 L .402 0 0 r
F P
0 g
s
.54417 .5931 m .54944 .59256 L .63019 .56913 L p .333 .816 .826 r
F P
0 g
s
.43579 .57573 m .54417 .5931 L p .43927 .57181 L .402 0 0 r
F P
0 g
s
.43927 .57181 m .42608 .57278 L .43579 .57573 L p .402 0 0 r
F P
0 g
s
.30447 .47919 m .30902 .48117 L p .27369 .41093 L .277 .46 .861 r
F P
0 g
s
.27369 .41093 m .27925 .43954 L .30447 .47919 L p .277 .46 .861 r
F P
0 g
s
.33076 .49244 m .30902 .48117 L .29807 .42094 L p .231 .423 .844 r
F P
0 g
s
.30902 .48117 m .29807 .42094 L .27369 .41093 L p .277 .46 .861 r
F P
0 g
s
.63019 .56913 m .62526 .56955 L .54417 .5931 L p .333 .816 .826 r
F P
0 g
s
.35048 .50471 m .36809 .51801 L .41544 .5629 L p 0 .174 .662 r
F P
0 g
s
.79726 .41059 m .79478 .41873 L .79076 .41913 L closepath p .896 .988 .762 r
F P
0 g
s
.79478 .41873 m .79076 .41913 L .772 .43717 L p .803 1 .816 r
F P
0 g
s
.79478 .41873 m .79726 .41059 L .81764 .38558 L p .893 .986 .792 r
F P
0 g
s
.86347 .33413 m .86214 .32116 L p .83272 .30008 L .878 .888 .837 r
F P
0 g
s
.83272 .30008 m .8397 .3601 L .86347 .33413 L p .878 .888 .837 r
F P
0 g
s
.25062 .39256 m .23203 .35486 L .23234 .3895 L p .225 .368 .798 r
F P
0 g
s
.23234 .3895 m .25061 .40086 L .25062 .39256 L p .225 .368 .798 r
F P
0 g
s
.81764 .38558 m .8397 .3601 L .83272 .30008 L p .889 .894 .827 r
F P
0 g
s
.72219 .49022 m .71589 .50015 L .71104 .50369 L closepath p .742 .951 .642 r
F P
0 g
s
.71589 .50015 m .72219 .49022 L .74581 .46406 L p .774 .98 .717 r
F P
0 g
s
.79726 .41059 m .81764 .38558 L .80992 .32629 L p .9 .899 .816 r
F P
0 g
s
.83272 .30008 m .80992 .32629 L .81764 .38558 L p .889 .894 .827 r
F P
0 g
s
.43579 .57573 m .42608 .57278 L .37873 .52789 L p .195 .546 .929 r
F P
0 g
s
.42608 .57278 m .37873 .52789 L .36809 .51801 L p 0 .036 .528 r
F P
0 g
s
.25649 .40506 m .27369 .41093 L .27925 .43954 L closepath p .314 .491 .873 r
F P
0 g
s
.27925 .43954 m .25649 .40506 L .25061 .40086 L p .011 .303 .796 r
F P
0 g
s
.79076 .41913 m .79726 .41059 L .78887 .35202 L p .912 .904 .803 r
F P
0 g
s
.80992 .32629 m .78887 .35202 L .79726 .41059 L p .9 .899 .816 r
F P
0 g
s
.7744 .40848 m .79076 .41913 L p .78887 .35202 L .912 .904 .803 r
F P
0 g
s
.772 .43717 m .7744 .40848 L .79076 .41913 L closepath p .862 .918 .866 r
F P
0 g
s
.772 .43717 m .7744 .40848 L p .75013 .40261 L .875 .928 .855 r
F P
0 g
s
.75013 .40261 m .74581 .46406 L .772 .43717 L p .875 .928 .855 r
F P
0 g
s
.66267 .50783 m .62526 .56955 L .63019 .56913 L p .807 .996 .859 r
F P
0 g
s
.32047 .43199 m .33076 .49244 L .35048 .50471 L p .177 .376 .822 r
F P
0 g
s
.29807 .42094 m .32047 .43199 L .33076 .49244 L p .231 .423 .844 r
F P
0 g
s
.72219 .49022 m .74581 .46406 L .75013 .40261 L p .89 .937 .84 r
F P
0 g
s
.85157 .27521 m .86214 .32116 L .8361 .29639 L closepath p .912 .882 .791 r
F P
0 g
s
.86214 .32116 m .8361 .29639 L .83272 .30008 L p .878 .888 .837 r
F P
0 g
s
.37873 .52789 m .38854 .53076 L .43579 .57573 L p .195 .546 .929 r
F P
0 g
s
.68404 .49842 m .70178 .50111 L .69072 .51875 L p .803 .983 .894 r
F P
0 g
s
.69072 .51875 m .70178 .50111 L .71104 .50369 L closepath p .795 .967 .914 r
F P
0 g
s
.71104 .50369 m .72219 .49022 L .72568 .42961 L p .905 .946 .82 r
F P
0 g
s
.75013 .40261 m .72568 .42961 L .72219 .49022 L p .89 .937 .84 r
F P
0 g
s
.70178 .50111 m .71104 .50369 L p .72568 .42961 L .905 .946 .82 r
F P
0 g
s
.25061 .40086 m .25062 .39256 L .25649 .40506 L closepath p .188 .333 .78 r
F P
0 g
s
.25649 .40506 m .27369 .41093 L p .27401 .32393 L .394 .459 .809 r
F P
0 g
s
.27401 .32393 m .25062 .39256 L .25649 .40506 L p .394 .459 .809 r
F P
0 g
s
.25062 .39256 m .27401 .32393 L .24444 .31653 L p .413 .48 .82 r
F P
0 g
s
.24444 .31653 m .23203 .35486 L .25062 .39256 L p .413 .48 .82 r
F P
0 g
s
.36558 .50136 m .34327 .45966 L .35048 .50471 L p .111 .318 .79 r
F P
0 g
s
.35048 .50471 m .36809 .51801 L .36558 .50136 L p .111 .318 .79 r
F P
0 g
s
.35048 .50471 m .34327 .45966 L p .32047 .43199 L .177 .376 .822 r
F P
0 g
s
.2116 .31518 m .20853 .30944 L .1901 .30122 L p .288 .425 .826 r
F P
0 g
s
.1901 .30122 m .19624 .28026 L .20853 .30944 L closepath p .346 .408 .783 r
F P
0 g
s
.70386 .45586 m .70178 .50111 L .68404 .49842 L p .921 .954 .793 r
F P
0 g
s
.72568 .42961 m .70386 .45586 L .70178 .50111 L p .905 .946 .82 r
F P
0 g
s
.23203 .35486 m .24444 .31653 L .21313 .31018 L p .43 .499 .829 r
F P
0 g
s
.21313 .31018 m .2116 .31518 L .23203 .35486 L p .43 .499 .829 r
F P
0 g
s
.31064 .38723 m .29494 .35142 L .27369 .41093 L p .372 .434 .796 r
F P
0 g
s
.27369 .41093 m .29807 .42094 L .31064 .38723 L p .372 .434 .796 r
F P
0 g
s
.27369 .41093 m .29494 .35142 L p .27401 .32393 L .394 .459 .809 r
F P
0 g
s
.76954 .37726 m .7744 .40848 L .75529 .39732 L closepath p .925 .909 .786 r
F P
0 g
s
.78887 .35202 m .76954 .37726 L .7744 .40848 L p .912 .904 .803 r
F P
0 g
s
.7744 .40848 m .75529 .39732 L .75013 .40261 L p .875 .928 .855 r
F P
0 g
s
.36809 .51801 m .36558 .50136 L .37873 .52789 L closepath p .029 .245 .747 r
F P
0 g
s
.20853 .30944 m .21313 .31018 L .2116 .31518 L closepath p .445 .515 .836 r
F P
0 g
s
.19624 .28026 m .20853 .30944 L .21313 .31018 L p .468 .481 .788 r
F P
0 g
s
.2674 .28332 m .25395 .24947 L .21313 .31018 L p .456 .465 .779 r
F P
0 g
s
.21313 .31018 m .24444 .31653 L .2674 .28332 L p .456 .465 .779 r
F P
0 g
s
.21313 .31018 m .25395 .24947 L p .19624 .28026 L .468 .481 .788 r
F P
0 g
s
.25395 .24947 m .23933 .21431 L .19624 .28026 L p .468 .481 .788 r
F P
0 g
s
.32463 .42125 m .31064 .38723 L .29807 .42094 L p .347 .406 .781 r
F P
0 g
s
.29807 .42094 m .32047 .43199 L .32463 .42125 L p .347 .406 .781 r
F P
0 g
s
.37873 .52789 m .38854 .53076 L p .38868 .44761 L .42 .489 .825 r
F P
0 g
s
.38868 .44761 m .36558 .50136 L .37873 .52789 L p .42 .489 .825 r
F P
0 g
s
.8361 .29639 m .85157 .27521 L .81489 .22066 L p .878 .805 .774 r
F P
0 g
s
.81489 .22066 m .79891 .24232 L .8361 .29639 L p .878 .805 .774 r
F P
0 g
s
.8361 .29639 m .79891 .24232 L .79541 .2461 L p .845 .802 .808 r
F P
0 g
s
.79541 .2461 m .83272 .30008 L .8361 .29639 L p .845 .802 .808 r
F P
0 g
s
.80992 .32629 m .83272 .30008 L .79541 .2461 L p .853 .803 .801 r
F P
0 g
s
.38854 .53076 m .41774 .46602 L p .38868 .44761 L .42 .489 .825 r
F P
0 g
s
.36558 .50136 m .38868 .44761 L .35096 .44075 L p .447 .521 .841 r
F P
0 g
s
.35096 .44075 m .34327 .45966 L .36558 .50136 L p .447 .521 .841 r
F P
0 g
s
.78887 .35202 m .80992 .32629 L .77192 .27298 L p .862 .804 .792 r
F P
0 g
s
.79541 .2461 m .77192 .27298 L .80992 .32629 L p .853 .803 .801 r
F P
0 g
s
.68465 .48138 m .68404 .49842 L .67316 .49856 L closepath p .937 .958 .756 r
F P
0 g
s
.68404 .49842 m .68465 .48138 L .70386 .45586 L p .921 .954 .793 r
F P
0 g
s
.68404 .49842 m .67316 .49856 L .66267 .50783 L p .807 .996 .859 r
F P
0 g
s
.76954 .37726 m .78887 .35202 L .75019 .29933 L p .871 .804 .781 r
F P
0 g
s
.77192 .27298 m .75019 .29933 L .78887 .35202 L p .862 .804 .792 r
F P
0 g
s
.75529 .39732 m .76954 .37726 L .73023 .32517 L p .881 .804 .769 r
F P
0 g
s
.75019 .29933 m .73023 .32517 L .76954 .37726 L p .871 .804 .781 r
F P
0 g
s
.2797 .31593 m .2674 .28332 L .24444 .31653 L p .444 .448 .769 r
F P
0 g
s
.24444 .31653 m .27401 .32393 L .2797 .31593 L p .444 .448 .769 r
F P
0 g
s
.73023 .32517 m .7155 .34569 L .75529 .39732 L p .881 .804 .769 r
F P
0 g
s
.75529 .39732 m .7155 .34569 L .71018 .35113 L p .837 .802 .818 r
F P
0 g
s
.71018 .35113 m .75013 .40261 L .75529 .39732 L p .837 .802 .818 r
F P
0 g
s
.34327 .45966 m .33117 .43837 L .32047 .43199 L p .177 .376 .822 r
F P
0 g
s
.32047 .43199 m .32463 .42125 L .33117 .43837 L closepath p .318 .373 .762 r
F P
0 g
s
.72568 .42961 m .75013 .40261 L .71018 .35113 L p .848 .803 .807 r
F P
0 g
s
.33117 .43837 m .35096 .44075 L .34327 .45966 L closepath p .47 .546 .853 r
F P
0 g
s
.70386 .45586 m .72568 .42961 L .68498 .37883 L p .86 .804 .794 r
F P
0 g
s
.71018 .35113 m .68498 .37883 L .72568 .42961 L p .848 .803 .807 r
F P
0 g
s
.68465 .48138 m .70386 .45586 L .66246 .40573 L p .873 .803 .778 r
F P
0 g
s
.68498 .37883 m .66246 .40573 L .70386 .45586 L p .86 .804 .794 r
F P
0 g
s
.32463 .42125 m .33117 .43837 L .35096 .44075 L p .502 .485 .771 r
F P
0 g
s
.67316 .49856 m .68465 .48138 L .6426 .43187 L p .887 .802 .759 r
F P
0 g
s
.66246 .40573 m .6426 .43187 L .68465 .48138 L p .873 .803 .778 r
F P
0 g
s
.39416 .40116 m .38154 .36778 L .32463 .42125 L p .502 .485 .771 r
F P
0 g
s
.35096 .44075 m .39416 .40116 L p .32463 .42125 L .502 .485 .771 r
F P
0 g
s
.31064 .38723 m .32463 .42125 L .38154 .36778 L p .514 .505 .784 r
F P
0 g
s
.61991 .45899 m .66267 .50783 L .67316 .49856 L p .815 .802 .839 r
F P
0 g
s
.6426 .43187 m .6307 .44945 L .67316 .49856 L p .887 .802 .759 r
F P
0 g
s
.67316 .49856 m .6307 .44945 L .61991 .45899 L p .815 .802 .839 r
F P
0 g
s
.38154 .36778 m .36727 .33261 L .31064 .38723 L p .514 .505 .784 r
F P
0 g
s
.31064 .38723 m .36727 .33261 L p .32095 .32564 L .525 .523 .795 r
F P
0 g
s
.32095 .32564 m .29494 .35142 L .31064 .38723 L p .525 .523 .795 r
F P
0 g
s
.29494 .35142 m .28359 .32686 L .27401 .32393 L p .394 .459 .809 r
F P
0 g
s
.27401 .32393 m .2797 .31593 L .28359 .32686 L closepath p .43 .429 .757 r
F P
0 g
s
.40519 .43283 m .39416 .40116 L .35096 .44075 L p .488 .462 .755 r
F P
0 g
s
.35096 .44075 m .38868 .44761 L .40519 .43283 L p .488 .462 .755 r
F P
0 g
s
.28359 .32686 m .32095 .32564 L .29494 .35142 L closepath p .534 .538 .805 r
F P
0 g
s
.2797 .31593 m .28359 .32686 L .32095 .32564 L p .538 .494 .755 r
F P
0 g
s
.3559 .30041 m .3445 .26816 L .2797 .31593 L p .538 .494 .755 r
F P
0 g
s
.32095 .32564 m .3559 .30041 L p .2797 .31593 L .538 .494 .755 r
F P
0 g
s
.2674 .28332 m .2797 .31593 L .3445 .26816 L p .545 .508 .765 r
F P
0 g
s
.3445 .26816 m .33199 .23466 L .2674 .28332 L p .545 .508 .765 r
F P
0 g
s
.25395 .24947 m .2674 .28332 L .33199 .23466 L p .552 .52 .774 r
F P
0 g
s
.76709 .18204 m .81489 .22066 L .79891 .24232 L closepath p .842 .741 .752 r
F P
0 g
s
.33199 .23466 m .31834 .19985 L .25395 .24947 L p .552 .52 .774 r
F P
0 g
s
.25395 .24947 m .31834 .19985 L p .25309 .20344 L .558 .532 .782 r
F P
0 g
s
.25309 .20344 m .23933 .21431 L .25395 .24947 L p .558 .532 .782 r
F P
0 g
s
.79891 .24232 m .76709 .18204 L .75172 .17154 L p .811 .732 .778 r
F P
0 g
s
.79541 .2461 m .79891 .24232 L p .75172 .17154 L .811 .732 .778 r
F P
0 g
s
.77192 .27298 m .79541 .2461 L .72575 .19955 L p .816 .73 .77 r
F P
0 g
s
.75172 .17154 m .72575 .19955 L .79541 .2461 L p .811 .732 .778 r
F P
0 g
s
.75019 .29933 m .77192 .27298 L .70158 .22699 L p .821 .727 .761 r
F P
0 g
s
.72575 .19955 m .70158 .22699 L .77192 .27298 L p .816 .73 .77 r
F P
0 g
s
.73023 .32517 m .75019 .29933 L .6792 .25387 L p .827 .724 .751 r
F P
0 g
s
.70158 .22699 m .6792 .25387 L .75019 .29933 L p .821 .727 .761 r
F P
0 g
s
.41774 .46602 m .41173 .45365 L .38868 .44761 L p .42 .489 .825 r
F P
0 g
s
.38868 .44761 m .40519 .43283 L .41173 .45365 L closepath p .471 .435 .736 r
F P
0 g
s
.36727 .33261 m .36424 .32557 L .32095 .32564 L p .525 .523 .795 r
F P
0 g
s
.32095 .32564 m .3559 .30041 L .36424 .32557 L closepath p .53 .479 .744 r
F P
0 g
s
.6926 .30156 m .73023 .32517 L .7155 .34569 L closepath p .833 .721 .74 r
F P
0 g
s
.6926 .30156 m .73023 .32517 L p .6792 .25387 L .827 .724 .751 r
F P
0 g
s
.31834 .19985 m .3163 .19487 L .25309 .20344 L p .558 .532 .782 r
F P
0 g
s
.25309 .20344 m .307 .16752 L .3163 .19487 L closepath p .555 .498 .747 r
F P
0 g
s
.7155 .34569 m .6926 .30156 L .65161 .2826 L p .791 .707 .773 r
F P
0 g
s
.71018 .35113 m .7155 .34569 L p .65161 .2826 L .791 .707 .773 r
F P
0 g
s
.68498 .37883 m .71018 .35113 L .62304 .3117 L p .796 .703 .762 r
F P
0 g
s
.65161 .2826 m .62304 .3117 L .71018 .35113 L p .791 .707 .773 r
F P
0 g
s
.66246 .40573 m .68498 .37883 L .59718 .33994 L p .802 .697 .749 r
F P
0 g
s
.62304 .3117 m .59718 .33994 L .68498 .37883 L p .796 .703 .762 r
F P
0 g
s
.6426 .43187 m .66246 .40573 L .59648 .37709 L p .808 .69 .735 r
F P
0 g
s
.59648 .37709 m .66246 .40573 L p .59718 .33994 L .802 .697 .749 r
F P
0 g
s
.41173 .45365 m .41774 .46602 L .50331 .4386 L p .633 .603 .802 r
F P
0 g
s
.49736 .42598 m .4907 .40484 L .40519 .43283 L p .611 .52 .726 r
F P
0 g
s
.40519 .43283 m .41173 .45365 L .49736 .42598 L p .611 .52 .726 r
F P
0 g
s
.39416 .40116 m .40519 .43283 L .4907 .40484 L p .616 .538 .743 r
F P
0 g
s
.50331 .4386 m .49736 .42598 L .41173 .45365 L p .633 .603 .802 r
F P
0 g
s
.61793 .42137 m .6426 .43187 L .6307 .44945 L closepath p .815 .682 .718 r
F P
0 g
s
.59648 .37709 m .61793 .42137 L .6426 .43187 L p .808 .69 .735 r
F P
0 g
s
.4907 .40484 m .47957 .37264 L .39416 .40116 L p .616 .538 .743 r
F P
0 g
s
.38154 .36778 m .39416 .40116 L .47957 .37264 L p .621 .553 .757 r
F P
0 g
s
.47957 .37264 m .46689 .3387 L .38154 .36778 L p .621 .553 .757 r
F P
0 g
s
.36727 .33261 m .38154 .36778 L .46689 .3387 L p .625 .566 .769 r
F P
0 g
s
.61991 .45899 m .6307 .44945 L p .52194 .40423 L .747 .655 .759 r
F P
0 g
s
.50331 .4386 m .61991 .45899 L p .52194 .40423 L .747 .655 .759 r
F P
0 g
s
.6307 .44945 m .61793 .42137 L .52194 .40423 L p .747 .655 .759 r
F P
0 g
s
.46689 .3387 m .45262 .30289 L .36727 .33261 L p .625 .566 .769 r
F P
0 g
s
.36424 .32557 m .36727 .33261 L .45262 .30289 L p .628 .578 .779 r
F P
0 g
s
.6792 .25387 m .67205 .26302 L .6926 .30156 L p .827 .724 .751 r
F P
0 g
s
.65161 .2826 m .67205 .26302 L .6926 .30156 L closepath p .785 .711 .782 r
F P
0 g
s
.45262 .30289 m .44959 .29572 L .36424 .32557 L p .628 .578 .779 r
F P
0 g
s
.3559 .30041 m .36424 .32557 L .44959 .29572 L p .613 .529 .735 r
F P
0 g
s
.44959 .29572 m .44114 .27016 L .3559 .30041 L p .613 .529 .735 r
F P
0 g
s
.3445 .26816 m .3559 .30041 L .44114 .27016 L p .617 .54 .745 r
F P
0 g
s
.61793 .42137 m .59648 .37709 L .56297 .37097 L p .743 .665 .774 r
F P
0 g
s
.56297 .37097 m .52194 .40423 L .61793 .42137 L p .743 .665 .774 r
F P
0 g
s
.44114 .27016 m .42965 .23737 L .3445 .26816 L p .617 .54 .745 r
F P
0 g
s
.33199 .23466 m .3445 .26816 L .42965 .23737 L p .62 .551 .754 r
F P
0 g
s
.42965 .23737 m .41707 .20329 L .33199 .23466 L p .62 .551 .754 r
F P
0 g
s
.31834 .19985 m .33199 .23466 L .41707 .20329 L p .623 .56 .763 r
F P
0 g
s
.72575 .19955 m .75172 .17154 L .64909 .1332 L p .781 .678 .75 r
F P
0 g
s
.41707 .20329 m .40338 .16786 L .31834 .19985 L p .623 .56 .763 r
F P
0 g
s
.3163 .19487 m .31834 .19985 L .40338 .16786 L p .626 .569 .77 r
F P
0 g
s
.70158 .22699 m .72575 .19955 L .62906 .1641 L p .784 .674 .742 r
F P
0 g
s
.62906 .1641 m .72575 .19955 L p .64909 .1332 L .781 .678 .75 r
F P
0 g
s
.40338 .16786 m .40134 .16278 L .3163 .19487 L p .626 .569 .77 r
F P
0 g
s
.307 .16752 m .3163 .19487 L .40134 .16278 L p .614 .533 .739 r
F P
0 g
s
.40134 .16278 m .39193 .13498 L .307 .16752 L p .614 .533 .739 r
F P
0 g
s
.6792 .25387 m .70158 .22699 L .6485 .20787 L p .787 .669 .734 r
F P
0 g
s
.62906 .1641 m .6485 .20787 L .70158 .22699 L p .784 .674 .742 r
F P
0 g
s
.59718 .33994 m .58493 .35443 L .59648 .37709 L p .802 .697 .749 r
F P
0 g
s
.56297 .37097 m .58493 .35443 L .59648 .37709 L closepath p .739 .674 .787 r
F P
0 g
s
.52194 .40423 m .49736 .42598 L .50331 .4386 L p .747 .655 .759 r
F P
0 g
s
.66635 .24932 m .6792 .25387 L .67205 .26302 L closepath p .791 .664 .724 r
F P
0 g
s
.6485 .20787 m .66635 .24932 L .6792 .25387 L p .787 .669 .734 r
F P
0 g
s
.67205 .26302 m .66635 .24932 L .54864 .22617 L p .751 .647 .746 r
F P
0 g
s
.65161 .2826 m .67205 .26302 L p .54864 .22617 L .751 .647 .746 r
F P
0 g
s
.62304 .3117 m .65161 .2826 L .54875 .26274 L p .753 .64 .736 r
F P
0 g
s
.54875 .26274 m .65161 .2826 L p .54864 .22617 L .751 .647 .746 r
F P
0 g
s
.4907 .40484 m .52194 .40423 L .49736 .42598 L closepath p .701 .572 .706 r
F P
0 g
s
.47957 .37264 m .4907 .40484 L .52194 .40423 L p .701 .585 .722 r
F P
0 g
s
.52194 .40423 m .56297 .37097 L .47957 .37264 L p .701 .585 .722 r
F P
0 g
s
.59718 .33994 m .62304 .3117 L .5643 .30057 L p .756 .633 .725 r
F P
0 g
s
.54875 .26274 m .5643 .30057 L .62304 .3117 L p .753 .64 .736 r
F P
0 g
s
.66635 .24932 m .6485 .20787 L .58322 .19479 L p .748 .653 .755 r
F P
0 g
s
.58322 .19479 m .54864 .22617 L .66635 .24932 L p .748 .653 .755 r
F P
0 g
s
.46689 .3387 m .47957 .37264 L .56297 .37097 L p .701 .596 .735 r
F P
0 g
s
.56297 .37097 m .58493 .35443 L p .46689 .3387 L .701 .596 .735 r
F P
0 g
s
.5783 .33642 m .59718 .33994 L .58493 .35443 L closepath p .758 .625 .712 r
F P
0 g
s
.5643 .30057 m .5783 .33642 L .59718 .33994 L p .756 .633 .725 r
F P
0 g
s
.58493 .35443 m .5783 .33642 L .46689 .3387 L p .701 .596 .735 r
F P
0 g
s
.45262 .30289 m .46689 .3387 L .5783 .33642 L p .701 .606 .747 r
F P
0 g
s
.5783 .33642 m .5643 .30057 L .45262 .30289 L p .701 .606 .747 r
F P
0 g
s
.45262 .30289 m .5643 .30057 L p .49619 .26386 L .7 .615 .758 r
F P
0 g
s
.49619 .26386 m .44959 .29572 L .45262 .30289 L p .7 .615 .758 r
F P
0 g
s
.44114 .27016 m .49619 .26386 L .44959 .29572 L closepath p .676 .564 .722 r
F P
0 g
s
.42965 .23737 m .44114 .27016 L .49619 .26386 L p .677 .573 .732 r
F P
0 g
s
.6485 .20787 m .62906 .1641 L .62061 .16237 L p .746 .658 .763 r
F P
0 g
s
.62061 .16237 m .58322 .19479 L .6485 .20787 L p .746 .658 .763 r
F P
0 g
s
.5643 .30057 m .54875 .26274 L .49619 .26386 L p .7 .615 .758 r
F P
0 g
s
.53758 .23675 m .53359 .22526 L .42965 .23737 L p .677 .573 .732 r
F P
0 g
s
.49619 .26386 m .53758 .23675 L p .42965 .23737 L .677 .573 .732 r
F P
0 g
s
.41707 .20329 m .42965 .23737 L .53359 .22526 L p .677 .582 .741 r
F P
0 g
s
.53359 .22526 m .52109 .19095 L .41707 .20329 L p .677 .582 .741 r
F P
0 g
s
.40338 .16786 m .41707 .20329 L .52109 .19095 L p .678 .589 .749 r
F P
0 g
s
.49619 .26386 m .53758 .23675 L .54875 .26274 L closepath p .7 .623 .767 r
F P
0 g
s
.54864 .22617 m .53758 .23675 L .54875 .26274 L p .751 .647 .746 r
F P
0 g
s
.52109 .19095 m .50755 .15528 L .40338 .16786 L p .678 .589 .749 r
F P
0 g
s
.40338 .16786 m .50755 .15528 L p .46998 .12098 L .678 .596 .756 r
F P
0 g
s
.46998 .12098 m .40134 .16278 L .40338 .16786 L p .678 .596 .756 r
F P
0 g
s
.39193 .13498 m .46998 .12098 L .40134 .16278 L closepath p .662 .56 .729 r
F P
0 g
s
.64909 .1332 m .62616 .15776 L .62906 .1641 L p .781 .678 .75 r
F P
0 g
s
.61388 .12588 m .64909 .1332 L .62616 .15776 L closepath p .756 .635 .727 r
F P
0 g
s
.62061 .16237 m .62616 .15776 L .62906 .1641 L closepath p .744 .662 .77 r
F P
0 g
s
.53359 .22526 m .54864 .22617 L .53758 .23675 L closepath p .723 .598 .717 r
F P
0 g
s
.54864 .22617 m .58322 .19479 L .52109 .19095 L p .722 .605 .726 r
F P
0 g
s
.52109 .19095 m .53359 .22526 L .54864 .22617 L p .722 .605 .726 r
F P
0 g
s
.58322 .19479 m .62061 .16237 L .50755 .15528 L p .722 .612 .734 r
F P
0 g
s
.50755 .15528 m .52109 .19095 L .58322 .19479 L p .722 .612 .734 r
F P
0 g
s
.62061 .16237 m .62616 .15776 L p .49292 .11815 L .721 .618 .742 r
F P
0 g
s
.49292 .11815 m .50755 .15528 L .62061 .16237 L p .721 .618 .742 r
F P
0 g
s
.62616 .15776 m .61388 .12588 L .49292 .11815 L p .721 .618 .742 r
F P
0 g
s
.50755 .15528 m .49292 .11815 L .46998 .12098 L p .678 .596 .756 r
F P
0 g
s
% End of Graphics
MathPictureEnd
\
\>"], "Graphics",
 ImageSize->{210, 153.938},
 ImageMargins->{{65, 0}, {0, 0}},
 ImageRegion->{{-0.209524, 1.1619}, {-0.162404, 
  1.26634}},ImageCache->GraphicsData["CompressedBitmap", "\<\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\
\>"],ImageRangeCache->{{{-44., 243.}, {177.938, -40.9375}} -> {0., 0., 0., \
0.}},ExpressionUUID->"5baa57a3-d3b2-4005-a61a-e24912655ef2"],

Cell[BoxData[
 TagBox[
  RowBox[{"\[SkeletonIndicator]", "Graphics3D", "\[SkeletonIndicator]"}],
  False,
  Editable->False]], "Output",ExpressionUUID->"2b816747-f3f3-4b16-bb77-\
b32f6d5c765f"]
}, Open  ]]
}, Closed]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Equation", "Section",ExpressionUUID->"8c76d865-d147-4e51-96b5-1f93083f3fcc"],

Cell[CellGroupData[{

Cell["Finite", "Subsection",ExpressionUUID->"36e7fdbe-4ed3-45af-9d23-e5637e89b4c7"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"eqn", "=", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{"x", "=", 
     RowBox[{
      RowBox[{
       RowBox[{"(", 
        RowBox[{"h", "-", "u"}], ")"}], "/", "h"}], " ", "r", " ", 
      RowBox[{"Cos", "[", "v", "]"}]}]}], ",", 
    RowBox[{"y", "=", 
     RowBox[{
      RowBox[{
       RowBox[{"(", 
        RowBox[{"h", "-", "u"}], ")"}], "/", "h"}], " ", "r", " ", 
      RowBox[{"Sin", "[", "v", "]"}]}]}], ",", 
    RowBox[{"z", "=", "u"}]}], "}"}]}]], "Input",ExpressionUUID->"7b14b3a3-\
06c3-451e-b432-20f353d7b51e"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   FractionBox[
    RowBox[{"r", " ", 
     RowBox[{"(", 
      RowBox[{"h", "-", "u"}], ")"}], " ", 
     RowBox[{"Cos", "[", "v", "]"}]}], "h"], ",", 
   FractionBox[
    RowBox[{"r", " ", 
     RowBox[{"(", 
      RowBox[{"h", "-", "u"}], ")"}], " ", 
     RowBox[{"Sin", "[", "v", "]"}]}], "h"], ",", "u"}], "}"}]], "Output",Expr\
essionUUID->"759af9f1-83ed-4d22-b7ae-29f4325a29bb"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"eqn", "/.", 
    RowBox[{"u", "\[Rule]", "0"}]}], ",", 
   RowBox[{"eqn", "/.", 
    RowBox[{"u", "\[Rule]", "h"}]}]}], "}"}]], "Input",ExpressionUUID->\
"815e613c-1d2b-4007-b4c9-58d23e80bfd8"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"r", " ", 
      RowBox[{"Cos", "[", "v", "]"}]}], ",", 
     RowBox[{"r", " ", 
      RowBox[{"Sin", "[", "v", "]"}]}], ",", "0"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0", ",", "0", ",", "h"}], "}"}]}], "}"}]], "Output",ExpressionUUI\
D->"8d6e5b6e-978e-4e38-898b-e69751bce32d"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Simplify", "[", 
  RowBox[{
   RowBox[{"x", "^", "2"}], "+", 
   RowBox[{"y", "^", "2"}]}], "]"}]], "Input",ExpressionUUID->"07ac0c4a-1979-\
48db-807f-144d0fe5921a"],

Cell[BoxData[
 FractionBox[
  RowBox[{
   SuperscriptBox["r", "2"], " ", 
   SuperscriptBox[
    RowBox[{"(", 
     RowBox[{"h", "-", "u"}], ")"}], "2"]}], 
  SuperscriptBox["h", "2"]]], "Output",ExpressionUUID->"45450cd8-b72c-4cf4-\
ad75-66ec5d66b6e2"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Double Cone", "Subsection",ExpressionUUID->"611a20ea-3ed4-4310-b9f5-073c8536e71c"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"GroebnerBasis", "[", 
  RowBox[{
   RowBox[{"Append", "[", 
    RowBox[{
     RowBox[{"Thread", "[", 
      RowBox[{
       RowBox[{"{", 
        RowBox[{"x", ",", "y", ",", "z"}], "}"}], "==", 
       RowBox[{"{", 
        RowBox[{
         RowBox[{"a", " ", "u", " ", 
          RowBox[{"Cos", "[", "v", "]"}]}], ",", 
         RowBox[{"a", " ", "u", " ", 
          RowBox[{"Sin", "[", "v", "]"}]}], ",", "u"}], "}"}]}], "]"}], ",", 
     RowBox[{
      RowBox[{
       RowBox[{
        RowBox[{"Cos", "[", "v", "]"}], "^", "2"}], "+", 
       RowBox[{
        RowBox[{"Sin", "[", "v", "]"}], "^", "2"}]}], "\[Equal]", "1"}]}], 
    "]"}], ",", 
   RowBox[{"{", 
    RowBox[{"x", ",", "y", ",", "z"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"u", ",", 
     RowBox[{"Cos", "[", "v", "]"}], ",", 
     RowBox[{"Sin", "[", "v", "]"}]}], "}"}], ",", 
   RowBox[{"MonomialOrder", "\[Rule]", "EliminationOrder"}]}], "]"}]], "Input",\
ExpressionUUID->"00e71abc-b357-4f39-9481-ce24ce0c038a"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"-", 
    SuperscriptBox["x", "2"]}], "-", 
   SuperscriptBox["y", "2"], "+", 
   RowBox[{
    SuperscriptBox["a", "2"], " ", 
    SuperscriptBox["z", "2"]}]}], "}"}]], "Output",ExpressionUUID->"3eeeed38-\
4c81-45b3-aacc-c74ed173ef09"]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"eqn", "=", 
   RowBox[{
    RowBox[{"-", 
     SuperscriptBox["x", "2"]}], "-", 
    SuperscriptBox["y", "2"], "+", 
    RowBox[{
     SuperscriptBox["a", "2"], " ", 
     SuperscriptBox["z", "2"]}]}]}], ";"}]], "Input",ExpressionUUID->\
"d1d6c0c9-025e-4d20-bfe5-83cda0ef06d7"]
}, Open  ]]
}, Closed]],

Cell[CellGroupData[{

Cell["Properties", "Section",ExpressionUUID->"c4c55228-746e-47c6-895b-df5faf84e043"],

Cell[CellGroupData[{

Cell["Centroid", "Subsection",ExpressionUUID->"988cfa34-e54b-4dd4-9aa5-348a05adf8e7"],

Cell[CellGroupData[{

Cell["Integrate", "Subsubsection",ExpressionUUID->"4e88d2b2-a364-4e6f-89b4-2df6fe3a8ba5"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"(", 
  RowBox[{"zz", "=", 
   RowBox[{
    RowBox[{"Integrate", "[", 
     RowBox[{
      RowBox[{"z", " ", 
       RowBox[{"Boole", "[", 
        RowBox[{
         FractionBox[
          RowBox[{
           SuperscriptBox["x", "2"], "+", 
           SuperscriptBox["y", "2"]}], 
          SuperscriptBox["c", "2"]], "<", 
         SuperscriptBox[
          RowBox[{"(", 
           RowBox[{"z", "-", "h"}], ")"}], "2"]}], "]"}]}], ",", 
      RowBox[{"{", 
       RowBox[{"x", ",", 
        RowBox[{"-", "\[Infinity]"}], ",", "\[Infinity]"}], "}"}], ",", 
      RowBox[{"{", 
       RowBox[{"y", ",", 
        RowBox[{"-", "\[Infinity]"}], ",", "\[Infinity]"}], "}"}], ",", 
      RowBox[{"{", 
       RowBox[{"z", ",", "0", ",", "h"}], "}"}], ",", 
      RowBox[{"Assumptions", "\[Rule]", 
       RowBox[{
        RowBox[{"c", ">", "0"}], "&&", 
        RowBox[{"h", ">", "0"}]}]}]}], "]"}], "/.", 
    RowBox[{"c", "\[Rule]", 
     RowBox[{"r", "/", "h"}]}]}]}], ")"}]], "Input",ExpressionUUID->"30d97233-\
3160-46f9-a59f-3be951bd4418"],

Cell[BoxData[
 RowBox[{
  FractionBox["1", "12"], " ", 
  SuperscriptBox["h", "2"], " ", "\[Pi]", " ", 
  SuperscriptBox["r", "2"]}]], "Output",ExpressionUUID->"cae3fd11-318e-421f-\
a6e0-b6f8e9e7f662"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"zbar", " ", "=", " ", 
  FractionBox["zz", 
   RowBox[{
    FractionBox["1", "3"], " ", "h", " ", "\[Pi]", " ", 
    SuperscriptBox["r", "2"]}]]}]], "Input",ExpressionUUID->"58218481-6cdb-\
4a2f-a658-661af1012f98"],

Cell[BoxData[
 FractionBox["h", "4"]], "Output",ExpressionUUID->"461aa65b-4551-40d9-a14e-b13b1e7bdc41"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Assuming", "[", 
   RowBox[{"assum", ",", 
    RowBox[{"FullSimplify", "[", 
     RowBox[{
      SuperscriptBox["vol", 
       RowBox[{"-", "1"}]], 
      RowBox[{"Integrate", "[", 
       RowBox[{
        RowBox[{"{", 
         RowBox[{"x", ",", "y", ",", "z"}], "}"}], ",", 
        RowBox[{
         RowBox[{"{", 
          RowBox[{"x", ",", "y", ",", "z"}], "}"}], "\[Element]", 
         RowBox[{
          RowBox[{"SolidData", "[", 
           RowBox[{"ent", ",", "\"\<ImplicitRegion\>\""}], "]"}], "[", 
          RowBox[{"a", ",", "h"}], "]"}]}]}], "]"}]}], "]"}]}], "]"}], "//", 
  "Timing"}]], "Input",ExpressionUUID->"3c0d6b95-999b-4fc1-9937-c3427d3f3af0"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"184.132055`", ",", 
   RowBox[{"{", 
    RowBox[{"0", ",", "0", ",", 
     FractionBox["h", "4"]}], "}"}]}], "}"}]], "Output",ExpressionUUID->\
"0f6f2432-1e1b-4f9e-b8c2-4d33ec6ac5b2"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Assuming", "[", 
   RowBox[{"assum", ",", 
    RowBox[{"FullSimplify", "[", 
     RowBox[{
      SuperscriptBox["vol", 
       RowBox[{"-", "1"}]], 
      RowBox[{"Integrate", "[", 
       RowBox[{
        RowBox[{"{", 
         RowBox[{"x", ",", "y", ",", "z"}], "}"}], ",", 
        RowBox[{
         RowBox[{"{", 
          RowBox[{"x", ",", "y", ",", "z"}], "}"}], "\[Element]", 
         RowBox[{
          RowBox[{"SolidData", "[", 
           RowBox[{"ent", ",", "\"\<ParametricRegion\>\""}], "]"}], "[", 
          RowBox[{"a", ",", "h"}], "]"}]}]}], "]"}]}], "]"}]}], "]"}], "//", 
  "Timing"}]], "Input",ExpressionUUID->"18cb03b0-6a3f-4d04-ad19-3e4ef50d4ddc"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"209.493422`", ",", 
   RowBox[{"{", 
    RowBox[{"0", ",", "0", ",", 
     FractionBox["h", "4"]}], "}"}]}], "}"}]], "Output",ExpressionUUID->\
"2c46ecc0-d23f-49c9-84b5-e8c4cf1310a7"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Assuming", "[", 
   RowBox[{"assum", ",", 
    RowBox[{"FullSimplify", "[", 
     RowBox[{
      SuperscriptBox["vol", 
       RowBox[{"-", "1"}]], 
      RowBox[{"Integrate", "[", 
       RowBox[{
        RowBox[{"{", 
         RowBox[{"x", ",", "y", ",", "z"}], "}"}], ",", 
        RowBox[{
         RowBox[{"{", 
          RowBox[{"x", ",", "y", ",", "z"}], "}"}], "\[Element]", 
         RowBox[{
          RowBox[{"SolidData", "[", 
           RowBox[{"ent", ",", "\"\<Region\>\""}], "]"}], "[", 
          RowBox[{"a", ",", "h"}], "]"}]}]}], "]"}]}], "]"}]}], "]"}], "//", 
  "Timing"}]], "Input",ExpressionUUID->"a6eadfc5-9b79-4b27-ba66-35f80ec9c29c"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.074243`", ",", 
   RowBox[{"{", 
    RowBox[{"0", ",", "0", ",", 
     FractionBox["h", "4"]}], "}"}]}], "}"}]], "Output",ExpressionUUID->\
"e941fe70-4dde-4e48-8fea-d332397a92ca"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["RegionCentroid", "Subsubsection",ExpressionUUID->"e6d07596-483e-4bd4-9ed2-40032e2a8329"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Assuming", "[", 
  RowBox[{"assum", ",", 
   RowBox[{"RegionCentroid", "[", "reg", "]"}]}], "]"}]], "Input",ExpressionUU\
ID->"3afba8da-633d-4ead-bcbc-3a354a55bba9"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0", ",", "0", ",", 
   FractionBox["h", "4"]}], "}"}]], "Output",ExpressionUUID->"b9bc24b2-6946-\
4cd2-9754-95c0c541e867"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Assuming", "[", 
   RowBox[{"assum", ",", 
    RowBox[{"FullSimplify", "@", 
     RowBox[{"RegionCentroid", "[", 
      RowBox[{
       RowBox[{"SolidData", "[", 
        RowBox[{"ent", ",", "\"\<ImplicitRegion\>\""}], "]"}], "[", 
       RowBox[{"a", ",", "h"}], "]"}], "]"}]}]}], "]"}], "//", 
  "Timing"}]], "Input",ExpressionUUID->"882f853d-5a5f-497b-bcc1-fe66fbf953c9"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"88.674662`", ",", 
   RowBox[{"{", 
    RowBox[{"0", ",", "0", ",", 
     FractionBox["h", "4"]}], "}"}]}], "}"}]], "Output",ExpressionUUID->\
"e952c895-44c4-4e73-9109-6c332f29c8e6"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Assuming", "[", 
   RowBox[{"assum", ",", 
    RowBox[{"FullSimplify", "@", 
     RowBox[{"RegionCentroid", "[", 
      RowBox[{
       RowBox[{"SolidData", "[", 
        RowBox[{"ent", ",", "\"\<ParametricRegion\>\""}], "]"}], "[", 
       RowBox[{"a", ",", "h"}], "]"}], "]"}]}]}], "]"}], "//", 
  "Timing"}]], "Input",ExpressionUUID->"ceaa882b-ea76-4c06-b39c-f8fa3754757a"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"134.042807`", ",", 
   RowBox[{"{", 
    RowBox[{"0", ",", "0", ",", 
     FractionBox["h", "4"]}], "}"}]}], "}"}]], "Output",ExpressionUUID->\
"da548c2c-d6fd-4dc9-bfac-b867ddc97c5b"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Assuming", "[", 
   RowBox[{"assum", ",", 
    RowBox[{"FullSimplify", "@", 
     RowBox[{"RegionCentroid", "[", 
      RowBox[{
       RowBox[{"SolidData", "[", 
        RowBox[{"ent", ",", "\"\<Region\>\""}], "]"}], "[", 
       RowBox[{"a", ",", "h"}], "]"}], "]"}]}]}], "]"}], "//", 
  "Timing"}]], "Input",ExpressionUUID->"49ef2005-7d02-478e-b0e1-abcdf3acf827"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.068325`", ",", 
   RowBox[{"{", 
    RowBox[{"0", ",", "0", ",", 
     FractionBox["h", "4"]}], "}"}]}], "}"}]], "Output",ExpressionUUID->\
"2e257e15-5619-433a-b51d-d57803c2c7fb"]
}, Open  ]]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["MeanCylindricalRadius", "Subsection",ExpressionUUID->"12f36498-135c-4ae3-9129-09ec00edce8c"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Assuming", "[", 
   RowBox[{"assum", ",", 
    RowBox[{"FullSimplify", "[", 
     RowBox[{
      SuperscriptBox["vol", 
       RowBox[{"-", "1"}]], 
      RowBox[{"Integrate", "[", 
       RowBox[{
        SqrtBox[
         RowBox[{
          SuperscriptBox["x", "2"], "+", 
          SuperscriptBox["y", "2"]}]], ",", 
        RowBox[{
         RowBox[{"{", 
          RowBox[{"x", ",", "y", ",", "z"}], "}"}], "\[Element]", 
         RowBox[{
          RowBox[{"SolidData", "[", 
           RowBox[{"ent", ",", "\"\<Region\>\""}], "]"}], "[", 
          RowBox[{"a", ",", "h"}], "]"}]}]}], "]"}]}], "]"}]}], "]"}], "//", 
  "Timing"}]], "Input",ExpressionUUID->"4ac4a842-b9ba-40e3-8921-418a61c362d5"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"1.129194`", ",", 
   FractionBox["a", "2"]}], "}"}]], "Output",ExpressionUUID->"4e82f7e1-a847-\
45b9-8094-db4b216a1482"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["MeanSphericalRadius", "Subsection",ExpressionUUID->"99e654df-a419-4652-9537-f682a6fcc580"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Assuming", "[", 
   RowBox[{"assum", ",", 
    RowBox[{"FullSimplify", "[", 
     RowBox[{
      SuperscriptBox["vol", 
       RowBox[{"-", "1"}]], 
      RowBox[{"Integrate", "[", 
       RowBox[{
        SqrtBox[
         RowBox[{
          SuperscriptBox["x", "2"], "+", 
          SuperscriptBox["y", "2"], "+", 
          SuperscriptBox["z", "2"]}]], ",", 
        RowBox[{
         RowBox[{"{", 
          RowBox[{"x", ",", "y", ",", "z"}], "}"}], "\[Element]", 
         RowBox[{
          RowBox[{"SolidData", "[", 
           RowBox[{"ent", ",", "\"\<Region\>\""}], "]"}], "[", 
          RowBox[{"a", ",", "h"}], "]"}]}]}], "]"}]}], "]"}]}], "]"}], "//", 
  "Timing"}]], "Input",ExpressionUUID->"712d6113-751e-4a99-91e3-0b4191b2355f"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"53.568329`", ",", 
   RowBox[{
    FractionBox["1", 
     RowBox[{"4", " ", 
      SuperscriptBox[
       RowBox[{"(", 
        RowBox[{
         SuperscriptBox["a", "2"], "+", 
         SuperscriptBox["h", "2"]}], ")"}], 
       RowBox[{"5", "/", "2"}]]}]], 
    RowBox[{"(", 
     RowBox[{
      RowBox[{
       SqrtBox[
        RowBox[{
         SuperscriptBox["a", "2"], "+", 
         SuperscriptBox["h", "2"]}]], " ", 
       RowBox[{"(", 
        RowBox[{
         RowBox[{"2", " ", 
          SuperscriptBox["a", "5"]}], "+", 
         RowBox[{"5", " ", 
          SuperscriptBox["a", "3"], " ", 
          SuperscriptBox["h", "2"]}], "-", 
         RowBox[{"2", " ", 
          SuperscriptBox["a", "2"], " ", 
          SuperscriptBox["h", "3"]}], "+", 
         SuperscriptBox["h", "5"]}], ")"}]}], "+", 
      RowBox[{"3", " ", 
       SuperscriptBox["a", "2"], " ", 
       SuperscriptBox["h", "4"], " ", 
       RowBox[{"(", 
        RowBox[{
         RowBox[{"-", 
          RowBox[{"Log", "[", 
           RowBox[{"a", " ", "h"}], "]"}]}], "+", 
         RowBox[{"Log", "[", 
          RowBox[{
           RowBox[{"(", 
            RowBox[{"a", "+", 
             SqrtBox[
              RowBox[{
               SuperscriptBox["a", "2"], "+", 
               SuperscriptBox["h", "2"]}]]}], ")"}], " ", 
           RowBox[{"(", 
            RowBox[{"h", "+", 
             SqrtBox[
              RowBox[{
               SuperscriptBox["a", "2"], "+", 
               SuperscriptBox["h", "2"]}]]}], ")"}]}], "]"}]}], ")"}]}]}], 
     ")"}]}]}], "}"}]], "Output",ExpressionUUID->"73378380-e9dd-495c-a431-\
ee607098fe48"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{
   FractionBox["1", 
    RowBox[{"4", " ", 
     SuperscriptBox[
      RowBox[{"(", 
       RowBox[{
        SuperscriptBox["a", "2"], "+", 
        SuperscriptBox["h", "2"]}], ")"}], 
      RowBox[{"5", "/", "2"}]]}]], 
   RowBox[{"(", 
    RowBox[{
     RowBox[{
      SqrtBox[
       RowBox[{
        SuperscriptBox["a", "2"], "+", 
        SuperscriptBox["h", "2"]}]], " ", 
      RowBox[{"(", 
       RowBox[{
        RowBox[{"2", " ", 
         SuperscriptBox["a", "5"]}], "+", 
        RowBox[{"5", " ", 
         SuperscriptBox["a", "3"], " ", 
         SuperscriptBox["h", "2"]}], "-", 
        RowBox[{"2", " ", 
         SuperscriptBox["a", "2"], " ", 
         SuperscriptBox["h", "3"]}], "+", 
        SuperscriptBox["h", "5"]}], ")"}]}], "+", 
     RowBox[{"3", " ", 
      SuperscriptBox["a", "2"], " ", 
      SuperscriptBox["h", "4"], " ", 
      RowBox[{"(", 
       RowBox[{
        RowBox[{"-", 
         RowBox[{"Log", "[", 
          RowBox[{"a", " ", "h"}], "]"}]}], "+", 
        RowBox[{"Log", "[", 
         RowBox[{
          RowBox[{"(", 
           RowBox[{"a", "+", 
            SqrtBox[
             RowBox[{
              SuperscriptBox["a", "2"], "+", 
              SuperscriptBox["h", "2"]}]]}], ")"}], " ", 
          RowBox[{"(", 
           RowBox[{"h", "+", 
            SqrtBox[
             RowBox[{
              SuperscriptBox["a", "2"], "+", 
              SuperscriptBox["h", "2"]}]]}], ")"}]}], "]"}]}], ")"}]}]}], 
    ")"}]}], "/.", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{"h", "\[Rule]", "1"}], ",", 
    RowBox[{"a", "\[Rule]", ".5"}]}], "}"}]}]], "Input",ExpressionUUID->\
"d5415059-2750-476b-bb95-6e856e20a278"],

Cell[BoxData["0.39659629166272203`"], "Output",ExpressionUUID->"1b98555c-5537-4876-b523-4061c3311f30"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Block", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"h", "=", "1"}], ",", 
     RowBox[{"a", "=", ".5"}]}], "}"}], ",", 
   RowBox[{
    SuperscriptBox["vol", 
     RowBox[{"-", "1"}]], 
    RowBox[{"NIntegrate", "[", 
     RowBox[{
      SqrtBox[
       RowBox[{
        SuperscriptBox["x", "2"], "+", 
        SuperscriptBox["y", "2"], "+", 
        SuperscriptBox["z", "2"]}]], ",", 
      RowBox[{
       RowBox[{"{", 
        RowBox[{"x", ",", "y", ",", "z"}], "}"}], "\[Element]", 
       RowBox[{
        RowBox[{"SolidData", "[", 
         RowBox[{"ent", ",", "\"\<Region\>\""}], "]"}], "[", 
        RowBox[{"a", ",", "h"}], "]"}]}]}], "]"}]}]}], "]"}]], "Input",Express\
ionUUID->"1ad72235-d354-4f56-8f48-8d8f19bbdb61"],

Cell[BoxData["0.3965962906366727`"], "Output",ExpressionUUID->"b36d8650-454f-4917-988e-8d1e9e8d98c0"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["MeanSquareCylindricalRadius", "Subsection",ExpressionUUID->"a4d4ce40-5e57-4cc1-ace0-963f0553a577"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Assuming", "[", 
   RowBox[{"assum", ",", 
    RowBox[{"FullSimplify", "[", 
     RowBox[{
      SuperscriptBox["vol", 
       RowBox[{"-", "1"}]], 
      RowBox[{"Integrate", "[", 
       RowBox[{
        RowBox[{"(", 
         RowBox[{
          SuperscriptBox["x", "2"], "+", 
          SuperscriptBox["y", "2"]}], ")"}], ",", 
        RowBox[{
         RowBox[{"{", 
          RowBox[{"x", ",", "y", ",", "z"}], "}"}], "\[Element]", 
         RowBox[{
          RowBox[{"SolidData", "[", 
           RowBox[{"ent", ",", "\"\<Region\>\""}], "]"}], "[", 
          RowBox[{"a", ",", "h"}], "]"}]}]}], "]"}]}], "]"}]}], "]"}], "//", 
  "Timing"}]], "Input",ExpressionUUID->"93b5db04-aa01-423f-9a99-a4026aff517e"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.082347`", ",", 
   FractionBox[
    RowBox[{"3", " ", 
     SuperscriptBox["a", "2"]}], "10"]}], "}"}]], "Output",ExpressionUUID->\
"5ba2207c-b486-4e2b-9700-ef63ff9f8afa"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["MeanSquareSphericalRadius", "Subsection",ExpressionUUID->"93d9d047-b5cb-4824-bd55-43f0e4104d7f"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Assuming", "[", 
   RowBox[{"assum", ",", 
    RowBox[{"FullSimplify", "[", 
     RowBox[{
      SuperscriptBox["vol", 
       RowBox[{"-", "1"}]], 
      RowBox[{"Integrate", "[", 
       RowBox[{
        RowBox[{"(", 
         RowBox[{
          SuperscriptBox["x", "2"], "+", 
          SuperscriptBox["y", "2"], "+", 
          SuperscriptBox["z", "2"]}], ")"}], ",", 
        RowBox[{
         RowBox[{"{", 
          RowBox[{"x", ",", "y", ",", "z"}], "}"}], "\[Element]", 
         RowBox[{
          RowBox[{"SolidData", "[", 
           RowBox[{"ent", ",", "\"\<Region\>\""}], "]"}], "[", 
          RowBox[{"a", ",", "h"}], "]"}]}]}], "]"}]}], "]"}]}], "]"}], "//", 
  "Timing"}]], "Input",ExpressionUUID->"be6c267e-2d69-4a82-94e2-025fac1a3a72"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.071377`", ",", 
   RowBox[{
    FractionBox["1", "10"], " ", 
    RowBox[{"(", 
     RowBox[{
      RowBox[{"3", " ", 
       SuperscriptBox["a", "2"]}], "+", 
      SuperscriptBox["h", "2"]}], ")"}]}]}], "}"}]], "Output",ExpressionUUID->\
"1a7c5f2b-b8d3-4d9a-8050-78b990c87183"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Volume", "Subsection",ExpressionUUID->"dabac622-3a1a-4332-9272-dc4168678b33"],

Cell[CellGroupData[{

Cell["Integrate", "Subsubsection",ExpressionUUID->"6cef7153-e3eb-43cc-a57f-8eaa3a902f8f"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"FullSimplify", "[", 
  RowBox[{"Integrate", "[", 
   RowBox[{
    RowBox[{"Pi", 
     RowBox[{
      RowBox[{"(", 
       RowBox[{
        RowBox[{
         RowBox[{"(", 
          RowBox[{"h", "-", "u"}], ")"}], "/", "h"}], " ", "r"}], ")"}], "^", 
      "2"}]}], ",", 
    RowBox[{"{", 
     RowBox[{"u", ",", "0", ",", "h"}], "}"}]}], "]"}], "]"}]], "Input",Expres\
sionUUID->"e9fb0dc7-a3c4-4878-ad87-3ee8a14f9ec5"],

Cell[BoxData[
 RowBox[{
  FractionBox["1", "3"], " ", "h", " ", "\[Pi]", " ", 
  SuperscriptBox["r", "2"]}]], "Output",ExpressionUUID->"721e2907-6bff-4463-\
b796-444fa50cbd94"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Integrate", "[", 
   RowBox[{
    RowBox[{"Boole", "[", 
     RowBox[{
      FractionBox[
       RowBox[{
        SuperscriptBox["x", "2"], "+", 
        SuperscriptBox["y", "2"]}], 
       SuperscriptBox["c", "2"]], "<", 
      SuperscriptBox[
       RowBox[{"(", 
        RowBox[{"z", "-", "h"}], ")"}], "2"]}], "]"}], ",", 
    RowBox[{"{", 
     RowBox[{"x", ",", 
      RowBox[{"-", "\[Infinity]"}], ",", "\[Infinity]"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"y", ",", 
      RowBox[{"-", "\[Infinity]"}], ",", "\[Infinity]"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"z", ",", "0", ",", "h"}], "}"}], ",", 
    RowBox[{"Assumptions", "\[Rule]", 
     RowBox[{
      RowBox[{"c", ">", "0"}], "&&", 
      RowBox[{"h", ">", "0"}]}]}]}], "]"}], "/.", 
  RowBox[{"c", "\[Rule]", 
   RowBox[{"r", "/", "h"}]}]}]], "Input",ExpressionUUID->"c61826f4-22fa-42ed-\
b8cc-b8e61a14cd65"],

Cell[BoxData[
 RowBox[{
  FractionBox["1", "3"], " ", "h", " ", "\[Pi]", " ", 
  SuperscriptBox["r", "2"]}]], "Output",ExpressionUUID->"77fafb04-eb25-41de-\
a22a-24c8c37874d6"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Assuming", "[", 
   RowBox[{"assum", ",", 
    RowBox[{"FullSimplify", "@", 
     RowBox[{"Integrate", "[", 
      RowBox[{"1", ",", 
       RowBox[{
        RowBox[{"{", 
         RowBox[{"x", ",", "y", ",", "z"}], "}"}], "\[Element]", 
        RowBox[{
         RowBox[{"SolidData", "[", 
          RowBox[{"ent", ",", "\"\<ImplicitRegion\>\""}], "]"}], "[", 
         RowBox[{"a", ",", "h"}], "]"}]}]}], "]"}]}]}], "]"}], "//", 
  "Timing"}]], "Input",ExpressionUUID->"994a7a51-37f6-48f5-950b-fe8267b335af"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"122.22189`", ",", 
   RowBox[{
    FractionBox["1", "3"], " ", 
    SuperscriptBox["a", "2"], " ", "h", " ", "\[Pi]"}]}], "}"}]], "Output",Exp\
ressionUUID->"f8d0b83f-9b3d-4dd5-b278-688619fb693c"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Assuming", "[", 
   RowBox[{"assum", ",", 
    RowBox[{"FullSimplify", "@", 
     RowBox[{"Integrate", "[", 
      RowBox[{"1", ",", 
       RowBox[{
        RowBox[{"{", 
         RowBox[{"x", ",", "y", ",", "z"}], "}"}], "\[Element]", 
        RowBox[{
         RowBox[{"SolidData", "[", 
          RowBox[{"ent", ",", "\"\<ParametricRegion\>\""}], "]"}], "[", 
         RowBox[{"a", ",", "h"}], "]"}]}]}], "]"}]}]}], "]"}], "//", 
  "Timing"}]], "Input",ExpressionUUID->"7e700008-4802-4bf3-a3fc-2754e07bb06f"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"139.206123`", ",", 
   RowBox[{
    FractionBox["1", "3"], " ", 
    SuperscriptBox["a", "2"], " ", "h", " ", "\[Pi]"}]}], "}"}]], "Output",Exp\
ressionUUID->"7d0c68f1-1fa6-4308-bb14-050b0d6889fb"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Assuming", "[", 
   RowBox[{"assum", ",", 
    RowBox[{"FullSimplify", "@", 
     RowBox[{"Integrate", "[", 
      RowBox[{"1", ",", 
       RowBox[{
        RowBox[{"{", 
         RowBox[{"x", ",", "y", ",", "z"}], "}"}], "\[Element]", 
        RowBox[{
         RowBox[{"SolidData", "[", 
          RowBox[{"ent", ",", "\"\<Region\>\""}], "]"}], "[", 
         RowBox[{"a", ",", "h"}], "]"}]}]}], "]"}]}]}], "]"}], "//", 
  "Timing"}]], "Input",ExpressionUUID->"420e7815-ce8d-440a-b2fb-993bf7d7aa05"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.086736`", ",", 
   RowBox[{
    FractionBox["1", "3"], " ", 
    SuperscriptBox["a", "2"], " ", "h", " ", "\[Pi]"}]}], "}"}]], "Output",Exp\
ressionUUID->"37680e48-7f71-4033-85bc-2aed6ae0beaf"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["RegionMeasure", "Subsubsection",ExpressionUUID->"75861465-5fb5-42ad-9124-bbe692322695"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Assuming", "[", 
  RowBox[{"assum", ",", 
   RowBox[{"Simplify", "@", 
    RowBox[{"RegionMeasure", "[", "reg", "]"}]}]}], "]"}]], "Input",Expression\
UUID->"2da69c97-84c8-4d15-ad1c-eefaa76f6d42"],

Cell[BoxData[
 RowBox[{
  FractionBox["1", "3"], " ", 
  SuperscriptBox["a", "2"], " ", "h", " ", "\[Pi]"}]], "Output",ExpressionUUID\
->"dd454192-264f-4f41-bb2f-082306f4b074"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Assuming", "[", 
   RowBox[{"assum", ",", 
    RowBox[{"FullSimplify", "@", 
     RowBox[{"RegionMeasure", "[", 
      RowBox[{
       RowBox[{"SolidData", "[", 
        RowBox[{"ent", ",", "\"\<ImplicitRegion\>\""}], "]"}], "[", 
       RowBox[{"a", ",", "h"}], "]"}], "]"}]}]}], "]"}], "//", 
  "Timing"}]], "Input",ExpressionUUID->"0eb042a6-4856-4f92-a109-2a937c0c5bfa"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"62.014324`", ",", 
   RowBox[{
    FractionBox["1", "3"], " ", 
    SuperscriptBox["a", "2"], " ", "h", " ", "\[Pi]"}]}], "}"}]], "Output",Exp\
ressionUUID->"7bbb9d0f-98ea-47a6-ac3f-3d1ea6ef1ec7"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Assuming", "[", 
   RowBox[{"assum", ",", 
    RowBox[{"FullSimplify", "@", 
     RowBox[{"RegionMeasure", "[", 
      RowBox[{
       RowBox[{"SolidData", "[", 
        RowBox[{"ent", ",", "\"\<ParametricRegion\>\""}], "]"}], "[", 
       RowBox[{"a", ",", "h"}], "]"}], "]"}]}]}], "]"}], "//", 
  "Timing"}]], "Input",ExpressionUUID->"60a52dba-18d5-4426-8fd1-ac05a242fc71"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"59.390085`", ",", 
   RowBox[{
    FractionBox["1", "3"], " ", 
    SuperscriptBox["a", "2"], " ", "h", " ", "\[Pi]"}]}], "}"}]], "Output",Exp\
ressionUUID->"4e210c74-4a01-4b7f-8bea-577494f5a2eb"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Assuming", "[", 
   RowBox[{"assum", ",", 
    RowBox[{"FullSimplify", "@", 
     RowBox[{"RegionMeasure", "[", 
      RowBox[{
       RowBox[{"SolidData", "[", 
        RowBox[{"ent", ",", "\"\<Region\>\""}], "]"}], "[", 
       RowBox[{"a", ",", "h"}], "]"}], "]"}]}]}], "]"}], "//", 
  "Timing"}]], "Input",ExpressionUUID->"a6e6a5ca-3676-4f6d-b531-2559a7eba431"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.072421`", ",", 
   RowBox[{
    FractionBox["1", "3"], " ", 
    SuperscriptBox["a", "2"], " ", "h", " ", "\[Pi]"}]}], "}"}]], "Output",Exp\
ressionUUID->"e1a8583d-08b4-4971-aecb-9f9d14dd8cad"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Volume", "Subsubsection",ExpressionUUID->"ecc932f2-d58f-4659-af13-68b697cc1579"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Assuming", "[", 
   RowBox[{"assum", ",", 
    RowBox[{"FullSimplify", "@", 
     RowBox[{"Volume", "[", 
      RowBox[{
       RowBox[{"SolidData", "[", 
        RowBox[{"ent", ",", "\"\<ImplicitRegion\>\""}], "]"}], "[", 
       RowBox[{"a", ",", "h"}], "]"}], "]"}]}]}], "]"}], "//", 
  "Timing"}]], "Input",ExpressionUUID->"901ab008-afa1-43ec-b14f-6f74671a0d93"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"45.660628`", ",", 
   RowBox[{
    FractionBox["1", "3"], " ", 
    SuperscriptBox["a", "2"], " ", "h", " ", "\[Pi]"}]}], "}"}]], "Output",Exp\
ressionUUID->"193abe97-7044-464a-8d3a-f1dbd696be40"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Assuming", "[", 
   RowBox[{"assum", ",", 
    RowBox[{"FullSimplify", "@", 
     RowBox[{"Volume", "[", 
      RowBox[{
       RowBox[{"SolidData", "[", 
        RowBox[{"ent", ",", "\"\<ParametricRegion\>\""}], "]"}], "[", 
       RowBox[{"a", ",", "h"}], "]"}], "]"}]}]}], "]"}], "//", 
  "Timing"}]], "Input",ExpressionUUID->"745e1b31-d7ed-479b-a9ec-e9154d9c60dd"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"95.120589`", ",", 
   RowBox[{
    FractionBox["1", "3"], " ", 
    SuperscriptBox["a", "2"], " ", "h", " ", "\[Pi]"}]}], "}"}]], "Output",Exp\
ressionUUID->"491287e1-1cbb-4ec8-a972-6c7d76419d5e"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Assuming", "[", 
   RowBox[{"assum", ",", 
    RowBox[{"FullSimplify", "@", 
     RowBox[{"Volume", "[", 
      RowBox[{
       RowBox[{"SolidData", "[", 
        RowBox[{"ent", ",", "\"\<Region\>\""}], "]"}], "[", 
       RowBox[{"a", ",", "h"}], "]"}], "]"}]}]}], "]"}], "//", 
  "Timing"}]], "Input",ExpressionUUID->"4e03b752-d4cf-434a-bb7d-26ade0bd184d"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.083902`", ",", 
   RowBox[{
    FractionBox["1", "3"], " ", 
    SuperscriptBox["a", "2"], " ", "h", " ", "\[Pi]"}]}], "}"}]], "Output",Exp\
ressionUUID->"e10e9926-e652-4c45-a633-bb3b00260e33"]
}, Open  ]]
}, Open  ]]
}, Open  ]],

Cell["Inertia Tensor", "Subsection",ExpressionUUID->"928bc008-a542-409e-966c-be7de7b282e8"],

Cell[CellGroupData[{

Cell["axis through base center (z==0) and Apex (z==h)", "Subsection",ExpressionUUID->"388558a4-e4af-450b-aaf3-df43bbf56663"],

Cell[CellGroupData[{

Cell["V7", "Subsubsection",ExpressionUUID->"b87d1612-77e9-4129-af9e-e14fce9fb37d"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{
   RowBox[{"i", "=", 
    RowBox[{"With", "[", 
     RowBox[{
      RowBox[{"{", 
       RowBox[{"\[Rho]", "=", 
        FractionBox["M", 
         RowBox[{
          FractionBox["1", "3"], " ", "h", " ", "\[Pi]", " ", 
          SuperscriptBox["r", "2"]}]]}], "}"}], ",", "\[IndentingNewLine]", 
      RowBox[{"\[Rho]", " ", 
       RowBox[{"Integrate", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"{", 
           RowBox[{
            RowBox[{"{", 
             RowBox[{
              RowBox[{
               RowBox[{"y", "^", "2"}], "+", 
               RowBox[{"z", "^", "2"}]}], ",", 
              RowBox[{
               RowBox[{"-", "x"}], " ", "y"}], ",", 
              RowBox[{
               RowBox[{"-", "x"}], " ", "z"}]}], "}"}], ",", 
            "\[IndentingNewLine]", 
            RowBox[{"{", 
             RowBox[{
              RowBox[{
               RowBox[{"-", "x"}], " ", "y"}], ",", 
              RowBox[{
               RowBox[{"z", "^", "2"}], "+", 
               RowBox[{"x", "^", "2"}]}], ",", 
              RowBox[{
               RowBox[{"-", "y"}], " ", "z"}]}], "}"}], ",", 
            "\[IndentingNewLine]", 
            RowBox[{"{", 
             RowBox[{
              RowBox[{
               RowBox[{"-", "x"}], " ", "z"}], ",", 
              RowBox[{
               RowBox[{"-", "y"}], " ", "z"}], ",", 
              RowBox[{
               RowBox[{"x", "^", "2"}], "+", 
               RowBox[{"y", "^", "2"}]}]}], "}"}]}], "}"}], 
          RowBox[{"Boole", "[", 
           RowBox[{
            RowBox[{
             FractionBox[
              RowBox[{
               SuperscriptBox["x", "2"], "+", 
               SuperscriptBox["y", "2"]}], 
              SuperscriptBox[
               RowBox[{"(", 
                RowBox[{"r", "/", "h"}], ")"}], "2"]], "<", 
             SuperscriptBox[
              RowBox[{"(", 
               RowBox[{"z", "-", "h"}], ")"}], "2"]}], "&&", 
            RowBox[{"0", "<", "z", "<", "h"}]}], "]"}]}], ",", 
         "\[IndentingNewLine]", 
         RowBox[{"{", 
          RowBox[{"x", ",", 
           RowBox[{"-", "\[Infinity]"}], ",", "\[Infinity]"}], "}"}], ",", 
         RowBox[{"{", 
          RowBox[{"y", ",", 
           RowBox[{"-", "\[Infinity]"}], ",", "\[Infinity]"}], "}"}], ",", 
         RowBox[{"{", 
          RowBox[{"z", ",", 
           RowBox[{"-", "\[Infinity]"}], ",", "\[Infinity]"}], "}"}], ",", 
         RowBox[{"Assumptions", "\[Rule]", 
          RowBox[{
           RowBox[{"r", ">", "0"}], "&&", 
           RowBox[{"h", ">", "0"}]}]}]}], "]"}]}]}], "\[IndentingNewLine]", 
     "]"}]}], ";"}], "//", "Timing"}]], "Input",ExpressionUUID->"88d406f0-\
10c0-40cf-bb69-111ed5deeae5"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"61.07820400000001`", ",", "Null"}], "}"}]], "Output",ExpressionUUID\
->"b2801179-fd9c-42df-a88d-584c686c0029"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"i", "//", "TraditionalForm"}]], "Input",ExpressionUUID->"df7d4f34-7e36-46c3-9d81-091aede6bdd8"],

Cell[BoxData[
 FormBox[
  RowBox[{"(", "\[NoBreak]", GridBox[{
     {
      RowBox[{
       FractionBox["1", "20"], " ", "M", " ", 
       RowBox[{"(", 
        RowBox[{
         RowBox[{"2", " ", 
          SuperscriptBox["h", "2"]}], "+", 
         RowBox[{"3", " ", 
          SuperscriptBox["r", "2"]}]}], ")"}]}], "0", "0"},
     {"0", 
      RowBox[{
       FractionBox["1", "20"], " ", "M", " ", 
       RowBox[{"(", 
        RowBox[{
         RowBox[{"2", " ", 
          SuperscriptBox["h", "2"]}], "+", 
         RowBox[{"3", " ", 
          SuperscriptBox["r", "2"]}]}], ")"}]}], "0"},
     {"0", "0", 
      FractionBox[
       RowBox[{"3", " ", "M", " ", 
        SuperscriptBox["r", "2"]}], "10"]}
    },
    GridBoxAlignment->{
     "Columns" -> {{Center}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, 
      "RowsIndexed" -> {}},
    GridBoxSpacings->{"Columns" -> {
        Offset[0.27999999999999997`], {
         Offset[0.7]}, 
        Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> {
        Offset[0.2], {
         Offset[0.4]}, 
        Offset[0.2]}, "RowsIndexed" -> {}}], "\[NoBreak]", ")"}], 
  TraditionalForm]], "Output",ExpressionUUID->"249220b4-7452-41c8-8c9b-\
8e07b4c4a5b8"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["V8", "Subsubsection",ExpressionUUID->"b0bacad7-afce-4734-b494-df1a12cae80f"],

Cell[CellGroupData[{

Cell[BoxData["$Version"], "Input",ExpressionUUID->"c2fc4090-fee3-40b3-bffb-4d5f605921cb"],

Cell[BoxData["\<\"8.0 for Mac OS X x86 (64-bit) (April 19, 2010)\"\>"], \
"Output",ExpressionUUID->"56aeea18-e2e2-4729-9fa0-8cec9067aedf"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{
   RowBox[{"i", "=", 
    RowBox[{"With", "[", 
     RowBox[{
      RowBox[{"{", 
       RowBox[{"\[Rho]", "=", 
        FractionBox["M", 
         RowBox[{
          FractionBox["1", "3"], " ", "h", " ", "\[Pi]", " ", 
          SuperscriptBox["r", "2"]}]]}], "}"}], ",", "\[IndentingNewLine]", 
      RowBox[{"\[Rho]", " ", 
       RowBox[{"Integrate", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"{", 
           RowBox[{
            RowBox[{"{", 
             RowBox[{
              RowBox[{
               RowBox[{"y", "^", "2"}], "+", 
               RowBox[{"z", "^", "2"}]}], ",", 
              RowBox[{
               RowBox[{"-", "x"}], " ", "y"}], ",", 
              RowBox[{
               RowBox[{"-", "x"}], " ", "z"}]}], "}"}], ",", 
            "\[IndentingNewLine]", 
            RowBox[{"{", 
             RowBox[{
              RowBox[{
               RowBox[{"-", "x"}], " ", "y"}], ",", 
              RowBox[{
               RowBox[{"z", "^", "2"}], "+", 
               RowBox[{"x", "^", "2"}]}], ",", 
              RowBox[{
               RowBox[{"-", "y"}], " ", "z"}]}], "}"}], ",", 
            "\[IndentingNewLine]", 
            RowBox[{"{", 
             RowBox[{
              RowBox[{
               RowBox[{"-", "x"}], " ", "z"}], ",", 
              RowBox[{
               RowBox[{"-", "y"}], " ", "z"}], ",", 
              RowBox[{
               RowBox[{"x", "^", "2"}], "+", 
               RowBox[{"y", "^", "2"}]}]}], "}"}]}], "}"}], 
          RowBox[{"Boole", "[", 
           RowBox[{
            RowBox[{
             FractionBox[
              RowBox[{
               SuperscriptBox["x", "2"], "+", 
               SuperscriptBox["y", "2"]}], 
              SuperscriptBox[
               RowBox[{"(", 
                RowBox[{"r", "/", "h"}], ")"}], "2"]], "<", 
             SuperscriptBox[
              RowBox[{"(", 
               RowBox[{"z", "-", "h"}], ")"}], "2"]}], "&&", 
            RowBox[{"0", "<", "z", "<", "h"}]}], "]"}]}], ",", 
         "\[IndentingNewLine]", 
         RowBox[{"{", 
          RowBox[{"x", ",", 
           RowBox[{"-", "\[Infinity]"}], ",", "\[Infinity]"}], "}"}], ",", 
         RowBox[{"{", 
          RowBox[{"y", ",", 
           RowBox[{"-", "\[Infinity]"}], ",", "\[Infinity]"}], "}"}], ",", 
         RowBox[{"{", 
          RowBox[{"z", ",", 
           RowBox[{"-", "\[Infinity]"}], ",", "\[Infinity]"}], "}"}], ",", 
         RowBox[{"Assumptions", "\[Rule]", 
          RowBox[{
           RowBox[{"r", ">", "0"}], "&&", 
           RowBox[{"h", ">", "0"}]}]}]}], "]"}]}]}], "\[IndentingNewLine]", 
     "]"}]}], ";"}], "//", "Timing"}]], "Input",ExpressionUUID->"78f3353f-\
74bf-4ae5-a05b-0074a5e9346c"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"208.939627`", ",", "Null"}], "}"}]], "Output",ExpressionUUID->\
"1acdfb73-1172-4d92-95e9-cc90bd716f2f"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"i", "//", "TraditionalForm"}]], "Input",ExpressionUUID->"201a3e4c-e469-474f-8861-24b8da2980dc"],

Cell[BoxData[
 FormBox[
  RowBox[{"(", "\[NoBreak]", GridBox[{
     {
      RowBox[{
       FractionBox["1", "20"], " ", "M", " ", 
       RowBox[{"(", 
        RowBox[{
         RowBox[{"2", " ", 
          SuperscriptBox["h", "2"]}], "+", 
         RowBox[{"3", " ", 
          SuperscriptBox["r", "2"]}]}], ")"}]}], "0", "0"},
     {"0", 
      RowBox[{
       FractionBox["1", "20"], " ", "M", " ", 
       RowBox[{"(", 
        RowBox[{
         RowBox[{"2", " ", 
          SuperscriptBox["h", "2"]}], "+", 
         RowBox[{"3", " ", 
          SuperscriptBox["r", "2"]}]}], ")"}]}], "0"},
     {"0", "0", 
      FractionBox[
       RowBox[{"3", " ", "M", " ", 
        SuperscriptBox["r", "2"]}], "10"]}
    },
    GridBoxAlignment->{
     "Columns" -> {{Center}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, 
      "RowsIndexed" -> {}},
    GridBoxSpacings->{"Columns" -> {
        Offset[0.27999999999999997`], {
         Offset[0.7]}, 
        Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> {
        Offset[0.2], {
         Offset[0.4]}, 
        Offset[0.2]}, "RowsIndexed" -> {}}], "\[NoBreak]", ")"}], 
  TraditionalForm]], "Output",ExpressionUUID->"a7ffab8e-20b4-42fe-8450-\
6f4b98e26fb5"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"208.94", "/", "61.0782"}]], "Input",ExpressionUUID->"68e08760-233a-420b-a6e4-259b914e07d6"],

Cell[BoxData["3.4208604706752976`"], "Output",ExpressionUUID->"5e90d4ec-21b1-4dfc-84ff-12cf3afa072d"]
}, Open  ]]
}, Open  ]]
}, Closed]],

Cell[CellGroupData[{

Cell["axis through base center (z==-h/4) and center of mass (z==0)", \
"Subsection",ExpressionUUID->"b743c6f0-0cee-48ee-a172-fd9048eece42"],

Cell[CellGroupData[{

Cell["V7", "Subsubsection",ExpressionUUID->"6f54bf8e-2c11-4ca0-a6ed-edd71cbf6bbe"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{
   RowBox[{"i", "=", 
    RowBox[{"With", "[", 
     RowBox[{
      RowBox[{"{", 
       RowBox[{"\[Rho]", "=", 
        FractionBox["M", 
         RowBox[{
          FractionBox["1", "3"], " ", "h", " ", "\[Pi]", " ", 
          SuperscriptBox["r", "2"]}]]}], "}"}], ",", "\[IndentingNewLine]", 
      RowBox[{"\[Rho]", " ", 
       RowBox[{"Integrate", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"{", 
           RowBox[{
            RowBox[{"{", 
             RowBox[{
              RowBox[{
               RowBox[{"y", "^", "2"}], "+", 
               RowBox[{"z", "^", "2"}]}], ",", 
              RowBox[{
               RowBox[{"-", "x"}], " ", "y"}], ",", 
              RowBox[{
               RowBox[{"-", "x"}], " ", "z"}]}], "}"}], ",", 
            "\[IndentingNewLine]", 
            RowBox[{"{", 
             RowBox[{
              RowBox[{
               RowBox[{"-", "x"}], " ", "y"}], ",", 
              RowBox[{
               RowBox[{"z", "^", "2"}], "+", 
               RowBox[{"x", "^", "2"}]}], ",", 
              RowBox[{
               RowBox[{"-", "y"}], " ", "z"}]}], "}"}], ",", 
            "\[IndentingNewLine]", 
            RowBox[{"{", 
             RowBox[{
              RowBox[{
               RowBox[{"-", "x"}], " ", "z"}], ",", 
              RowBox[{
               RowBox[{"-", "y"}], " ", "z"}], ",", 
              RowBox[{
               RowBox[{"x", "^", "2"}], "+", 
               RowBox[{"y", "^", "2"}]}]}], "}"}]}], "}"}], 
          RowBox[{"Boole", "[", 
           RowBox[{
            RowBox[{
             FractionBox[
              RowBox[{
               SuperscriptBox["x", "2"], "+", 
               SuperscriptBox["y", "2"]}], 
              SuperscriptBox[
               RowBox[{"(", 
                RowBox[{"r", "/", "h"}], ")"}], "2"]], "<", 
             SuperscriptBox[
              RowBox[{"(", 
               RowBox[{
                RowBox[{"(", 
                 RowBox[{"z", "+", 
                  RowBox[{"h", "/", "4"}]}], ")"}], "-", "h"}], ")"}], "2"]}],
             "&&", 
            RowBox[{
             RowBox[{"-", 
              RowBox[{"h", "/", "4"}]}], "<", "z", "<", 
             RowBox[{"3", 
              RowBox[{"h", "/", "4"}]}]}]}], "]"}]}], ",", 
         "\[IndentingNewLine]", 
         RowBox[{"{", 
          RowBox[{"x", ",", 
           RowBox[{"-", "\[Infinity]"}], ",", "\[Infinity]"}], "}"}], ",", 
         RowBox[{"{", 
          RowBox[{"y", ",", 
           RowBox[{"-", "\[Infinity]"}], ",", "\[Infinity]"}], "}"}], ",", 
         RowBox[{"{", 
          RowBox[{"z", ",", 
           RowBox[{"-", "\[Infinity]"}], ",", "\[Infinity]"}], "}"}], ",", 
         RowBox[{"Assumptions", "\[Rule]", 
          RowBox[{
           RowBox[{"r", ">", "0"}], "&&", 
           RowBox[{"h", ">", "0"}]}]}]}], "]"}]}]}], "\[IndentingNewLine]", 
     "]"}]}], ";"}], "//", "Timing"}]], "Input",ExpressionUUID->"4b2abd57-\
fa5a-48ef-a66f-7d65426c1a95"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"61.24819600000001`", ",", "Null"}], "}"}]], "Output",ExpressionUUID\
->"17ee2aab-9c58-41db-a9b1-7c359700fb42"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"i", "//", "TraditionalForm"}]], "Input",ExpressionUUID->"b2035723-4d57-471f-9a61-eb56bd986bea"],

Cell[BoxData[
 FormBox[
  RowBox[{"(", "\[NoBreak]", GridBox[{
     {
      RowBox[{
       FractionBox["3", "80"], " ", "M", " ", 
       RowBox[{"(", 
        RowBox[{
         SuperscriptBox["h", "2"], "+", 
         RowBox[{"4", " ", 
          SuperscriptBox["r", "2"]}]}], ")"}]}], "0", "0"},
     {"0", 
      RowBox[{
       FractionBox["3", "80"], " ", "M", " ", 
       RowBox[{"(", 
        RowBox[{
         SuperscriptBox["h", "2"], "+", 
         RowBox[{"4", " ", 
          SuperscriptBox["r", "2"]}]}], ")"}]}], "0"},
     {"0", "0", 
      FractionBox[
       RowBox[{"3", " ", "M", " ", 
        SuperscriptBox["r", "2"]}], "10"]}
    },
    GridBoxAlignment->{
     "Columns" -> {{Center}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, 
      "RowsIndexed" -> {}},
    GridBoxSpacings->{"Columns" -> {
        Offset[0.27999999999999997`], {
         Offset[0.7]}, 
        Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> {
        Offset[0.2], {
         Offset[0.4]}, 
        Offset[0.2]}, "RowsIndexed" -> {}}], "\[NoBreak]", ")"}], 
  TraditionalForm]], "Output",ExpressionUUID->"a1ee010d-97b1-466c-a692-\
5310cb617b43"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["V8", "Subsubsection",ExpressionUUID->"62bd6621-502b-4e16-8bb1-600f1929d55b"],

Cell[CellGroupData[{

Cell[BoxData["$Version"], "Input",ExpressionUUID->"23629582-aed0-4fa2-9dc8-1824b645b9eb"],

Cell[BoxData["\<\"8.0 for Mac OS X x86 (64-bit) (April 19, 2010)\"\>"], \
"Output",ExpressionUUID->"8e5fc3b0-d64f-4e68-8962-0b45f7ddc2d3"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{
   RowBox[{"i", "=", 
    RowBox[{"With", "[", 
     RowBox[{
      RowBox[{"{", 
       RowBox[{"\[Rho]", "=", 
        FractionBox["M", 
         RowBox[{
          FractionBox["1", "3"], " ", "h", " ", "\[Pi]", " ", 
          SuperscriptBox["r", "2"]}]]}], "}"}], ",", "\[IndentingNewLine]", 
      RowBox[{"\[Rho]", " ", 
       RowBox[{"Integrate", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"{", 
           RowBox[{
            RowBox[{"{", 
             RowBox[{
              RowBox[{
               RowBox[{"y", "^", "2"}], "+", 
               RowBox[{"z", "^", "2"}]}], ",", 
              RowBox[{
               RowBox[{"-", "x"}], " ", "y"}], ",", 
              RowBox[{
               RowBox[{"-", "x"}], " ", "z"}]}], "}"}], ",", 
            "\[IndentingNewLine]", 
            RowBox[{"{", 
             RowBox[{
              RowBox[{
               RowBox[{"-", "x"}], " ", "y"}], ",", 
              RowBox[{
               RowBox[{"z", "^", "2"}], "+", 
               RowBox[{"x", "^", "2"}]}], ",", 
              RowBox[{
               RowBox[{"-", "y"}], " ", "z"}]}], "}"}], ",", 
            "\[IndentingNewLine]", 
            RowBox[{"{", 
             RowBox[{
              RowBox[{
               RowBox[{"-", "x"}], " ", "z"}], ",", 
              RowBox[{
               RowBox[{"-", "y"}], " ", "z"}], ",", 
              RowBox[{
               RowBox[{"x", "^", "2"}], "+", 
               RowBox[{"y", "^", "2"}]}]}], "}"}]}], "}"}], 
          RowBox[{"Boole", "[", 
           RowBox[{
            RowBox[{
             FractionBox[
              RowBox[{
               SuperscriptBox["x", "2"], "+", 
               SuperscriptBox["y", "2"]}], 
              SuperscriptBox[
               RowBox[{"(", 
                RowBox[{"r", "/", "h"}], ")"}], "2"]], "<", 
             SuperscriptBox[
              RowBox[{"(", 
               RowBox[{
                RowBox[{"(", 
                 RowBox[{"z", "+", 
                  RowBox[{"h", "/", "4"}]}], ")"}], "-", "h"}], ")"}], "2"]}],
             "&&", 
            RowBox[{
             RowBox[{
              RowBox[{"-", "h"}], "/", "4"}], "<", "z", "<", 
             RowBox[{"3", 
              RowBox[{"h", "/", "4"}]}]}]}], "]"}]}], ",", 
         "\[IndentingNewLine]", 
         RowBox[{"{", 
          RowBox[{"x", ",", 
           RowBox[{"-", "\[Infinity]"}], ",", "\[Infinity]"}], "}"}], ",", 
         RowBox[{"{", 
          RowBox[{"y", ",", 
           RowBox[{"-", "\[Infinity]"}], ",", "\[Infinity]"}], "}"}], ",", 
         RowBox[{"{", 
          RowBox[{"z", ",", 
           RowBox[{"-", "\[Infinity]"}], ",", "\[Infinity]"}], "}"}], ",", 
         RowBox[{"Assumptions", "\[Rule]", 
          RowBox[{
           RowBox[{"r", ">", "0"}], "&&", 
           RowBox[{"h", ">", "0"}]}]}]}], "]"}]}]}], "\[IndentingNewLine]", 
     "]"}]}], ";"}], "//", "Timing"}]], "Input",ExpressionUUID->"e2c734b0-\
cfbc-4f76-821a-2241aeae4048"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"196.87839100000008`", ",", "Null"}], "}"}]], "Output",ExpressionUUI\
D->"43bcc859-ffb9-4cc7-abc8-6507cd413686"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"i", "//", "TraditionalForm"}]], "Input",ExpressionUUID->"627ed354-e4f0-41ed-8caa-02cbf30bc258"],

Cell[BoxData[
 FormBox[
  RowBox[{"(", "\[NoBreak]", GridBox[{
     {
      RowBox[{
       FractionBox["3", "80"], " ", "M", " ", 
       RowBox[{"(", 
        RowBox[{
         SuperscriptBox["h", "2"], "+", 
         RowBox[{"4", " ", 
          SuperscriptBox["r", "2"]}]}], ")"}]}], "0", "0"},
     {"0", 
      RowBox[{
       FractionBox["3", "80"], " ", "M", " ", 
       RowBox[{"(", 
        RowBox[{
         SuperscriptBox["h", "2"], "+", 
         RowBox[{"4", " ", 
          SuperscriptBox["r", "2"]}]}], ")"}]}], "0"},
     {"0", "0", 
      FractionBox[
       RowBox[{"3", " ", "M", " ", 
        SuperscriptBox["r", "2"]}], "10"]}
    },
    GridBoxAlignment->{
     "Columns" -> {{Center}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, 
      "RowsIndexed" -> {}},
    GridBoxSpacings->{"Columns" -> {
        Offset[0.27999999999999997`], {
         Offset[0.7]}, 
        Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> {
        Offset[0.2], {
         Offset[0.4]}, 
        Offset[0.2]}, "RowsIndexed" -> {}}], "\[NoBreak]", ")"}], 
  TraditionalForm]], "Output",ExpressionUUID->"4f54f26d-579b-41b8-8aa5-\
7a2fc018b3cc"]
}, Open  ]]
}, Open  ]]
}, Closed]],

Cell[CellGroupData[{

Cell["Surface Area", "Subsection",ExpressionUUID->"75daf8ca-29fd-4736-af7e-e4af7f2cdcad"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"{", 
   RowBox[{
   "\[ScriptCapitalE]", ",", "\[ScriptCapitalF]", ",", "\[ScriptCapitalG]"}], 
   "}"}], "=", 
  RowBox[{"FullSimplify", "[", 
   RowBox[{"FirstFundamentalForm", "[", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{
       RowBox[{
        RowBox[{
         RowBox[{"(", 
          RowBox[{"h", "-", "u"}], ")"}], "/", "h"}], " ", "r", " ", 
        RowBox[{"Cos", "[", "v", "]"}]}], ",", 
       RowBox[{
        RowBox[{
         RowBox[{"(", 
          RowBox[{"h", "-", "u"}], ")"}], "/", "h"}], " ", "r", " ", 
        RowBox[{"Sin", "[", "v", "]"}]}], ",", "u"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"u", ",", "v"}], "}"}]}], "]"}], "]"}]}]], "Input",ExpressionUUI\
D->"233a2e5d-afeb-48da-93eb-3f119ef61042"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"1", "+", 
    FractionBox[
     SuperscriptBox["r", "2"], 
     SuperscriptBox["h", "2"]]}], ",", "0", ",", 
   FractionBox[
    RowBox[{
     SuperscriptBox["r", "2"], " ", 
     SuperscriptBox[
      RowBox[{"(", 
       RowBox[{"h", "-", "u"}], ")"}], "2"]}], 
    SuperscriptBox["h", "2"]]}], "}"}]], "Output",ExpressionUUID->"8d4cfa0f-\
ebba-462c-bba7-169dced0390c"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"FullSimplify", "[", 
  RowBox[{
   SqrtBox[
    RowBox[{
     RowBox[{"\[ScriptCapitalE]", " ", "\[ScriptCapitalG]"}], "-", 
     SuperscriptBox["\[ScriptCapitalF]", "2"]}]], ",", 
   RowBox[{
    RowBox[{"r", ">", "0"}], "&&", 
    RowBox[{"h", ">", "0"}], "&&", 
    RowBox[{"0", "<", "u", "<", "h"}]}]}], "]"}]], "Input",ExpressionUUID->\
"9e8f0971-83dc-4dd9-83fa-440e07c4a3ed"],

Cell[BoxData[
 FractionBox[
  RowBox[{"r", " ", 
   SqrtBox[
    RowBox[{
     SuperscriptBox["h", "2"], "+", 
     SuperscriptBox["r", "2"]}]], " ", 
   RowBox[{"(", 
    RowBox[{"h", "-", "u"}], ")"}]}], 
  SuperscriptBox["h", "2"]]], "Output",ExpressionUUID->"14faef66-edf4-4d73-\
b5a7-9ea95285b588"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Integrate", "[", 
  RowBox[{
   FractionBox[
    RowBox[{"r", " ", 
     SqrtBox[
      RowBox[{
       SuperscriptBox["h", "2"], "+", 
       SuperscriptBox["r", "2"]}]], " ", 
     RowBox[{"(", 
      RowBox[{"h", "-", "u"}], ")"}]}], 
    SuperscriptBox["h", "2"]], ",", 
   RowBox[{"{", 
    RowBox[{"u", ",", "0", ",", "h"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"v", ",", "0", ",", 
     RowBox[{"2", "\[Pi]"}]}], "}"}]}], "]"}]], "Input",ExpressionUUID->\
"03b16899-bce2-42e6-93d9-b7fc7b0d67a7"],

Cell[BoxData[
 RowBox[{"\[Pi]", " ", "r", " ", 
  SqrtBox[
   RowBox[{
    SuperscriptBox["h", "2"], "+", 
    SuperscriptBox["r", "2"]}]]}]], "Output",ExpressionUUID->"e0eb7f11-e9a0-\
444e-8369-3314b6c3dd07"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Integrate", "[", 
  RowBox[{
   SqrtBox[
    RowBox[{
     RowBox[{"\[ScriptCapitalE]", " ", "\[ScriptCapitalG]"}], "-", 
     SuperscriptBox["\[ScriptCapitalF]", "2"]}]], ",", 
   RowBox[{"{", 
    RowBox[{"u", ",", "0", ",", "h"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"v", ",", "0", ",", 
     RowBox[{"2", "\[Pi]"}]}], "}"}], ",", 
   RowBox[{"Assumptions", "\[Rule]", 
    RowBox[{
     RowBox[{"r", ">", "0"}], "&&", 
     RowBox[{"h", ">", "0"}]}]}]}], "]"}]], "Input",ExpressionUUID->"bd5714f9-\
5e1b-4bed-909a-9f7c1815d1d2"],

Cell[BoxData[
 RowBox[{"\[Pi]", " ", "r", " ", 
  SqrtBox[
   RowBox[{
    SuperscriptBox["h", "2"], "+", 
    SuperscriptBox["r", "2"]}]]}]], "Output",ExpressionUUID->"f8651716-e2d8-\
466e-b74c-4a16197c5341"]
}, Open  ]]
}, Closed]],

Cell[CellGroupData[{

Cell["Curvatures", "Subsection",ExpressionUUID->"2a530a36-eafe-4966-a10b-878d4b2201b8"],

Cell[BoxData[
 RowBox[{
  RowBox[{"cone", "=", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"a", " ", "u", " ", 
      RowBox[{"Cos", "[", "v", "]"}]}], ",", 
     RowBox[{"a", " ", "u", " ", 
      RowBox[{"Sin", "[", "v", "]"}]}], ",", "u"}], "}"}]}], ";"}]], "Input",E\
xpressionUUID->"c114103d-eb58-444d-9d35-6fab4812538e"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"ParametricPlot3D", "[", 
  RowBox[{
   RowBox[{"cone", "/.", 
    RowBox[{"a", "\[Rule]", "1"}]}], ",", 
   RowBox[{"{", 
    RowBox[{"u", ",", 
     RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"v", ",", "0", ",", 
     RowBox[{"2", "\[Pi]"}]}], "}"}]}], "]"}]], "Input",ExpressionUUID->\
"2a1a93c0-35fa-4edf-adcb-1561c858d2b3"],

Cell[BoxData[
 Graphics3DBox[GraphicsComplex3DBox[CompressedData["
1:eJzlvXd8lUUTNoyKdERBEFARBAQVsFEEQoYuIL13pIl0kN4tiBSBEJpU6UWQ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   "], {{
     {EdgeForm[None], GraphicsGroup3DBox[{Polygon3DBox[CompressedData["
1:eJxFnAn8F9P3xj9zZ+YzM2Qv7ZQlUpFsZYlS2SpFQtaUfSeUtexLluxCKrIT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         "]], 
        Polygon3DBox[CompressedData["
1:eJw1nAnYVtPbxc95zvj4G8osGRIlUyQ0oZRUKFEqY5MyFhWKlFQUjaIiFZUG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         "]], 
        Polygon3DBox[CompressedData["
1:eJwt1wv8z9Udx/Ef/+/////FX2nogtVcIilNoaLG3Lq4xh5EiXIpm2vl0uJR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         
         "]]}]}, {}, {}, {}}, {{}, {}, {}, {
      Line3DBox[{818, 1073, 934, 2430, 819, 1074, 2375, 941, 837, 1112, 2380, 
       948, 844, 1133, 2386, 955, 851, 1154, 2396, 962, 858, 1175, 969, 865, 
       2341, 1196, 976, 872, 1217, 983, 2450, 879, 1238, 990, 886, 1259, 2411,
        997, 893, 1280, 2415, 1004, 900, 1301, 2423, 1011, 907, 1322, 1018, 
       914, 2348, 1343, 1025, 921}], 
      Line3DBox[{820, 1075, 935, 2431, 821, 1076, 942, 2434, 838, 1113, 949, 
       845, 1134, 2387, 956, 852, 2337, 1155, 963, 859, 2339, 1176, 970, 866, 
       2342, 1197, 977, 873, 1218, 984, 2451, 880, 1239, 991, 2454, 887, 1260,
        998, 894, 1281, 2416, 1005, 901, 1302, 1012, 908, 2346, 1323, 1019, 
       915, 2349, 1344, 1026, 922}], 
      Line3DBox[{822, 1077, 1078, 2313, 1366, 1079, 1080, 2319, 1373, 1114, 
       1115, 2323, 1380, 1135, 2388, 1136, 1387, 2437, 1156, 1157, 1394, 2440,
        1177, 1178, 1401, 2444, 1198, 1199, 1408, 1219, 1220, 2325, 1415, 
       1240, 1241, 2331, 1422, 1261, 1262, 2335, 1429, 1282, 1283, 1436, 2456,
        1303, 1304, 1443, 2458, 1324, 1325, 1450, 2462, 1345, 1346, 923}], 
      Line3DBox[{823, 1081, 1082, 2314, 1367, 1083, 1084, 2320, 1374, 1116, 
       2381, 1117, 1381, 1137, 2389, 1138, 1388, 1158, 1159, 1395, 2441, 1179,
        1180, 1402, 2445, 1200, 1201, 1409, 1221, 1222, 2326, 1416, 1242, 
       1243, 2332, 1423, 1263, 1264, 1430, 1284, 2417, 1285, 1437, 1305, 1306,
        1444, 2459, 1326, 1327, 1451, 2463, 1347, 1348, 924}], 
      Line3DBox[{824, 1085, 1086, 2315, 1368, 1087, 2376, 1088, 1375, 1118, 
       2382, 1119, 1382, 1139, 2390, 1140, 1389, 1160, 2397, 1161, 1396, 1181,
        2401, 1182, 1403, 2446, 1202, 1203, 1410, 1223, 1224, 2327, 1417, 
       1244, 2407, 1245, 1424, 1265, 2412, 1266, 1431, 1286, 2418, 1287, 1438,
        1307, 2424, 1308, 1445, 1328, 1329, 1452, 2464, 1349, 1350, 925}], 
      Line3DBox[{825, 1560, 1561, 1559, 1565, 2486, 1564, 1090, 1032, 2353, 
       1033, 1121, 1035, 2355, 1036, 1142, 1038, 2357, 1039, 1163, 1041, 2359,
        1042, 1184, 1044, 2361, 1045, 1205, 1047, 1048, 1226, 1050, 1051, 
       1247, 1053, 2363, 1054, 1268, 1056, 2365, 1057, 1289, 1059, 2367, 1060,
        1310, 1062, 2369, 1063, 1331, 1065, 2371, 1066, 1352, 1068, 1069, 
       1550}], Line3DBox[{828, 1091, 938, 2432, 829, 1092, 945, 2435, 841, 
       1122, 2383, 952, 848, 1143, 2391, 959, 855, 1164, 2398, 966, 862, 1185,
        973, 869, 2344, 1206, 980, 876, 1227, 987, 2452, 883, 1248, 994, 890, 
       1269, 2413, 1001, 897, 1290, 2419, 1008, 904, 1311, 2425, 1015, 911, 
       1332, 1022, 918, 2351, 1353, 1029, 928}], 
      Line3DBox[{830, 1093, 939, 2433, 831, 1094, 946, 2436, 842, 1123, 953, 
       849, 1144, 2392, 960, 856, 2338, 1165, 967, 863, 2340, 1186, 974, 870, 
       2345, 1207, 981, 877, 1228, 988, 2453, 884, 1249, 995, 2455, 891, 1270,
        1002, 898, 1291, 2420, 1009, 905, 1312, 1016, 912, 2347, 1333, 1023, 
       919, 2352, 1354, 1030, 929}], 
      Line3DBox[{832, 1095, 1096, 2316, 1369, 1097, 1098, 2321, 1376, 1124, 
       1125, 2324, 1383, 1145, 1146, 1390, 2438, 1166, 1167, 1397, 2442, 1187,
        1188, 1404, 2447, 1208, 1209, 1411, 1229, 1230, 2328, 1418, 1250, 
       1251, 2333, 1425, 1271, 1272, 2336, 1432, 1292, 1293, 1439, 2457, 1313,
        1314, 1446, 2460, 1334, 1335, 1453, 2465, 1355, 1356, 930}], 
      Line3DBox[{833, 1099, 1100, 2317, 1370, 1101, 1102, 2322, 1377, 1126, 
       2384, 1127, 1384, 1147, 2393, 1148, 1391, 2439, 1168, 1169, 1398, 2443,
        1189, 1190, 1405, 2448, 1210, 1211, 1412, 1231, 1232, 2329, 1419, 
       1252, 1253, 2334, 1426, 1273, 1274, 1433, 1294, 2421, 1295, 1440, 1315,
        1316, 1447, 2461, 1336, 1337, 1454, 2466, 1357, 1358, 931}], 
      Line3DBox[{834, 1103, 1104, 2318, 1371, 1105, 2378, 1106, 1378, 1128, 
       2385, 1129, 1385, 1149, 2394, 1150, 1392, 1170, 2399, 1171, 1399, 1191,
        2403, 1192, 1406, 2449, 1212, 1213, 1413, 1233, 1234, 2330, 1420, 
       1254, 2409, 1255, 1427, 1275, 2414, 1276, 1434, 1296, 2422, 1297, 1441,
        1317, 2426, 1318, 1448, 1338, 1339, 1455, 2467, 1359, 1360, 932}], 
      Line3DBox[{835, 1107, 1458, 2468, 1108, 1372, 1109, 1460, 2469, 1110, 
       1379, 1130, 1462, 2470, 1131, 1386, 1151, 2395, 1464, 1152, 1393, 1172,
        2400, 1466, 1173, 1400, 1193, 2404, 1468, 1194, 1407, 1214, 2405, 
       1470, 1215, 1414, 1235, 1472, 2474, 1236, 1421, 1256, 1474, 2475, 1257,
        1428, 1277, 1476, 2476, 1278, 1435, 1298, 1478, 1299, 1442, 1319, 
       2427, 1480, 1320, 1449, 1340, 2429, 1482, 1341, 1456, 1361, 1484, 1362,
        1364}], 
      Line3DBox[{920, 1024, 1483, 1342, 913, 1017, 1481, 2478, 1321, 906, 
       1010, 1479, 2477, 1300, 899, 1003, 1477, 1279, 892, 996, 2410, 1475, 
       1258, 885, 989, 2406, 1473, 1237, 878, 982, 1471, 1216, 871, 975, 1469,
        1195, 864, 968, 1467, 2473, 1174, 857, 961, 1465, 2472, 1153, 850, 
       954, 1463, 2471, 1132, 843, 947, 2379, 1461, 1111, 836, 940, 2374, 
       1459, 1072, 817, 933, 2373, 1457, 1071, 1365}], 
      Line3DBox[CompressedData["
1:eJwV0KdLhlEAhfGrn3sgzmbwXzDaTDaDYjPIZzMoBkFQsBkEm1mrzW2zWUTc
e++99x6/Nzycc9/nXLi8JfGmqsaEEEIbemMhxJJCKEgJoQiFqE4O4QnZ+lh6
CI96j903gm8bzhV4QJbzvezmXvCnr6MUd2h3P9PmVu/kb/Grr6EYN8jgr2UH
d4YffcS9VZmGK6TbXMpWfj96i74SvdPbL6Idfy6buQ0Muv/lvIxdmzOZanMq
G/hFfOpLmOJPZAo/6t6xXs9P40NfxKjNkUy2OZS13CTe9QX08Qcy7n6Szb5e
w0/gTZ9Hl82ejPG7spIbx6s+7N6cbLHZkYk229F/5geif6sP2czKOpstmWCz
Kcv4/mjHPzvPoNwmj89HLnLwDynhUCE=
       "]], 
      Line3DBox[{927, 1028, 1563, 1562, 1070, 2350, 917, 1021, 2372, 1067, 
       910, 1014, 2370, 1064, 903, 1007, 2368, 1061, 896, 1000, 2366, 1058, 
       889, 993, 2364, 1055, 882, 2408, 986, 1052, 875, 979, 1049, 2343, 868, 
       972, 2362, 1046, 861, 965, 2360, 1043, 854, 958, 2358, 1040, 847, 951, 
       2356, 1037, 840, 944, 2354, 1034, 827, 2377, 937, 1031, 1552}]}, {
      Line3DBox[{1566, 1814, 2016, 2232, 2373, 2172, 1816, 2017, 2430, 1734, 
       1567, 1818, 2018, 2431, 1735, 1568, 2250, 2313, 2019, 1736, 1569, 2252,
        2314, 2020, 1737, 1570, 2254, 2315, 2021, 1738, 2229, 2486, 2230, 
       2231, 1821, 2184, 2233, 2479, 2212, 2192, 2193, 1822, 2377, 1739, 1571,
        1823, 2022, 2432, 1740, 1572, 1825, 2023, 2433, 1741, 1573, 2255, 
       2316, 2024, 1742, 1574, 2257, 2317, 2025, 1743, 1575, 2259, 2318, 2026,
        1744, 2173, 2468, 1828, 2027, 1745, 1829}], Line3DBox[CompressedData["

1:eJwVzk0uQ2EUgOHTCTrSdiINA9qkUdri2gPSdNQlWAA7IMGEYffAvFPsQCRy
/bTYAurfUJ87ePOd9/3uyXcXtne7O7mI6GBxImJmMuIF51MRG/mIPWeZv+LC
vKnVfTfL33DAU76EK/fTfKTf8mVcawXtXbvjDWzxOf6Be97EmvafzdqxnVOc
oK83tJ75DGFu4dKcuGvZmeefOOQPfAUV/oUjbcBXcWOnyL/1YfYmUq2k/WiP
PEGbV/kvnvh+9j9ajf/hWVt3jgEU6Spy
       "]], 
      Line3DBox[{1587, 1831, 2040, 2237, 2379, 2176, 1832, 2042, 2238, 2380, 
       1588, 1833, 2044, 949, 1589, 2260, 2323, 2046, 1756, 1590, 2381, 1834, 
       2048, 1757, 1591, 2382, 1835, 2050, 1758, 1592, 2355, 1793, 1858, 2187,
        2215, 2188, 2482, 1857, 2195, 2216, 1794, 1860, 2239, 2356, 1593, 
       1839, 2052, 2240, 2383, 1594, 1840, 2054, 953, 1595, 2261, 2324, 2056, 
       1759, 1596, 2384, 1841, 2058, 1760, 1597, 2385, 1842, 2060, 1761, 2177,
        2470, 1844, 2062, 1762, 1871}], 
      Line3DBox[{1610, 1873, 2063, 1872, 2395, 1609, 1870, 2061, 1869, 2394, 
       1608, 1868, 2059, 1867, 2393, 1607, 1866, 2057, 1145, 1606, 2392, 1865,
        2055, 1864, 1605, 2391, 1863, 2053, 1862, 1604, 2358, 1798, 1861, 
       1797, 2218, 2196, 2226, 1503, 2217, 1796, 1859, 1795, 2357, 1603, 1856,
        2051, 1855, 2390, 1602, 1854, 2049, 1853, 2389, 1601, 1852, 2047, 
       1851, 2388, 1600, 2387, 1850, 2045, 1849, 1599, 2386, 1848, 2043, 1847,
        1598, 2471, 1846, 2041, 1845, 1876}], 
      Line3DBox[{1623, 1894, 2075, 1893, 2400, 1622, 1892, 2074, 1891, 2399, 
       1621, 1890, 2073, 2439, 2266, 1620, 1889, 2072, 2438, 2265, 1619, 2264,
        2338, 2071, 1888, 1618, 2398, 1887, 2070, 1886, 1617, 2360, 1802, 
       1885, 1801, 2220, 2198, 2227, 2402, 2197, 2219, 1800, 1884, 1799, 2359,
        1616, 1883, 2069, 1882, 2397, 1615, 1881, 2068, 1158, 1614, 1880, 
       2067, 2437, 2263, 1613, 2262, 2337, 2066, 1879, 1612, 2396, 1878, 2065,
        1877, 1611, 2472, 1875, 2064, 1874, 1897}], 
      Line3DBox[{1636, 1913, 2087, 1912, 2404, 1635, 1911, 2086, 1910, 2403, 
       1634, 1909, 2085, 2443, 2272, 1633, 1908, 2084, 2442, 2271, 1632, 2270,
        2340, 2083, 1907, 1631, 1185, 2082, 1906, 1630, 2362, 1804, 1905, 705,
        773, 1541, 704, 1904, 1803, 2361, 1629, 1903, 2081, 1902, 2401, 1628, 
       1901, 2080, 2441, 2269, 1627, 1900, 2079, 2440, 2268, 1626, 2267, 2339,
        2078, 1899, 1625, 1175, 2077, 1898, 1624, 2473, 1896, 2076, 1895, 
       1915}], Line3DBox[{106, 566, 871, 107, 567, 872, 108, 568, 873, 109, 
       1408, 569, 110, 1409, 570, 111, 1410, 571, 112, 1226, 376, 874, 113, 
       377, 875, 114, 572, 876, 115, 573, 877, 116, 1411, 574, 117, 1412, 575,
        118, 1413, 576, 119, 1414, 577, 120}], 
      Line3DBox[{1650, 1929, 2099, 1928, 2405, 1649, 1927, 2098, 2449, 2282, 
       1648, 1926, 2097, 2448, 2281, 1647, 1925, 2096, 2447, 2280, 1646, 2279,
        2345, 2095, 1924, 1645, 2278, 2344, 2094, 1923, 1644, 2248, 2343, 
       1922, 2202, 2201, 1643, 2484, 2199, 2200, 1921, 1047, 1642, 1920, 2093,
        2446, 2277, 1641, 1919, 2092, 2445, 2276, 1640, 1918, 2091, 2444, 
       2275, 1639, 2274, 2342, 2090, 1917, 1638, 2273, 2341, 2089, 1916, 1637,
        1195, 2088, 1914, 1931}], 
      Line3DBox[{1651, 1930, 2100, 982, 2178, 1932, 2101, 2450, 1763, 1652, 
       1933, 2102, 2451, 1764, 1653, 2283, 2325, 2103, 1765, 1654, 2284, 2326,
        2104, 1766, 1655, 2285, 2327, 2105, 1767, 1656, 1051, 1941, 2189, 
       2241, 2480, 2221, 2203, 2204, 1942, 2408, 1768, 1657, 1934, 2106, 2452,
        1769, 1658, 1935, 2107, 2453, 1770, 1659, 2286, 2328, 2108, 1771, 
       1660, 2287, 2329, 2109, 1772, 1661, 2288, 2330, 2110, 1773, 2179, 2474,
        1936, 2111, 1774, 1946}], 
      Line3DBox[{1662, 1937, 2112, 2242, 2406, 2180, 1938, 2113, 990, 1663, 
       1939, 2114, 2454, 1775, 1664, 2289, 2331, 2115, 1776, 1665, 2290, 2332,
        2116, 1777, 1666, 2407, 1940, 2117, 1778, 1667, 2363, 1805, 1952, 686,
        1532, 752, 715, 1953, 2243, 2364, 1668, 1943, 2118, 994, 1669, 1944, 
       2119, 2455, 1779, 1670, 2291, 2333, 2120, 1780, 1671, 2292, 2334, 2121,
        1781, 1672, 2409, 1945, 2122, 1782, 2181, 2475, 1947, 2123, 1783, 
       1957}], Line3DBox[{1673, 1948, 2124, 2244, 2410, 2182, 1949, 2125, 
       2245, 2411, 1674, 1950, 2126, 998, 1675, 2293, 2335, 2127, 1784, 1676, 
       1264, 2128, 1785, 1677, 2412, 1951, 2129, 1786, 1678, 2365, 1806, 1960,
        2190, 2222, 2191, 2483, 1959, 2205, 2223, 1807, 1961, 2246, 2366, 
       1679, 1954, 2130, 2247, 2413, 1680, 1955, 2131, 1002, 1681, 2294, 2336,
        2132, 1787, 1682, 1274, 2133, 1788, 1683, 2414, 1956, 2134, 1789, 
       2183, 2476, 1958, 2135, 1790, 1962}], 
      Line3DBox[{437, 419, 1477, 670, 421, 2415, 1684, 422, 2416, 1685}], 
      Line3DBox[{451, 435, 1478, 671, 433, 2422, 1693, 432, 2421, 1692, 431}],
       Line3DBox[{1706, 1982, 2147, 1981, 2427, 1705, 1980, 2146, 1979, 2426, 
       1704, 1978, 2145, 1315, 1703, 1977, 2144, 2457, 2296, 1702, 1312, 2143,
        1976, 1701, 2425, 1975, 2142, 1974, 1700, 2370, 1811, 1973, 1810, 
       2225, 2207, 2228, 2428, 2206, 2224, 1809, 1972, 1808, 2369, 1699, 1971,
        2141, 1970, 2424, 1698, 1969, 2140, 1305, 1697, 1968, 2139, 2456, 
       2295, 1696, 1302, 2138, 1967, 1695, 2423, 1966, 2137, 1965, 1694, 2477,
        1964, 2136, 1963, 1985}], 
      Line3DBox[{1719, 1999, 2159, 1998, 2429, 1718, 1997, 2158, 1338, 1717, 
       1996, 2157, 2461, 2302, 1716, 1995, 2156, 2460, 2301, 1715, 2300, 2347,
        2155, 1994, 1714, 1332, 2154, 1993, 1713, 2372, 1813, 1992, 726, 780, 
       1548, 725, 1991, 1812, 2371, 1712, 1990, 2153, 1328, 1711, 1989, 2152, 
       2459, 2299, 1710, 1988, 2151, 2458, 2298, 1709, 2297, 2346, 2150, 1987,
        1708, 1322, 2149, 1986, 1707, 2478, 1984, 2148, 1983, 2001}], 
      Line3DBox[{1733, 2014, 2171, 1361, 1732, 2013, 2170, 2467, 2312, 1731, 
       2012, 2169, 2466, 2311, 1730, 2011, 2168, 2465, 2310, 1729, 2309, 2352,
        2167, 2010, 1728, 2308, 2351, 2166, 2009, 1727, 2249, 2350, 2008, 
       2211, 2210, 1726, 2485, 2208, 2209, 2007, 1068, 1725, 2006, 2165, 2464,
        2307, 1724, 2005, 2164, 2463, 2306, 1723, 2004, 2163, 2462, 2305, 
       1722, 2304, 2349, 2162, 2003, 1721, 2303, 2348, 2161, 2002, 1720, 1342,
        2160, 2000, 2015}], 
      Line3DBox[{443, 760, 247, 2368, 1689, 429, 2419, 1690, 430, 2420, 
       1691}], Line3DBox[{246, 759, 1309}], 
      Line3DBox[{246, 2367, 1688, 425, 2418, 1687, 424, 2417, 1686, 423}]}}},
   VertexNormals->CompressedData["
1:eJzkvXlYTt33+F+GIlHmDKGQMTJPaYvQQBqUMiUZEjKUeUqZi0iSKZVSGRKZ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    "]],
  Axes->True,
  PlotRange->{{-0.9999998571428571, 0.9999998571428571}, {-0.9999998571428319,
    0.9999998571428319}, {-0.9999998571428571, 0.9999998571428571}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]}]], "Output",ExpressionUUID->"8f49d6df-ebce-4333-8ae6-\
f40b7cba4eec"]
}, Open  ]]
}, Closed]],

Cell[CellGroupData[{

Cell["a-parametrization", "Subsection",ExpressionUUID->"8f52fa04-7191-4cc6-887d-a91e77bd5785"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Curvatures", "[", 
  RowBox[{"cone", ",", 
   RowBox[{"{", 
    RowBox[{"u", ",", "v"}], "}"}], ",", 
   RowBox[{
    RowBox[{"FullSimplify", "[", 
     RowBox[{"#", ",", 
      RowBox[{
       RowBox[{"a", ">", "0"}], "&&", 
       RowBox[{"u", "\[Element]", "Reals"}], "&&", 
       RowBox[{"0", "<", "v", "<", 
        RowBox[{"2", "\[Pi]"}]}]}]}], "]"}], "&"}]}], "]"}]], "Input",Expressi\
onUUID->"796ae553-e58c-48b1-b602-2169cef75d9e"],

Cell[CellGroupData[{

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"{E,F,G} = \"\>", "\[InvisibleSpace]", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"1", "+", 
      SuperscriptBox["a", "2"]}], ",", "0", ",", 
     RowBox[{
      SuperscriptBox["a", "2"], " ", 
      SuperscriptBox["u", "2"]}]}], "}"}]}],
  SequenceForm[
  "{E,F,G} = ", {1 + $CellContext`a^2, 0, $CellContext`a^2 $CellContext`u^2}],
  
  Editable->False]], "Print",ExpressionUUID->"fe58983d-3e4b-4718-adfd-\
17fa3b4c5bd4"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"{e,f,g} = \"\>", "\[InvisibleSpace]", 
   RowBox[{"{", 
    RowBox[{"0", ",", "0", ",", 
     FractionBox[
      RowBox[{"a", " ", 
       RowBox[{"Abs", "[", "u", "]"}]}], 
      SqrtBox[
       RowBox[{"1", "+", 
        SuperscriptBox["a", "2"]}]]]}], "}"}]}],
  SequenceForm[
  "{e,f,g} = ", {
   0, 0, ($CellContext`a (1 + $CellContext`a^2)^Rational[-1, 2]) 
    Abs[$CellContext`u]}],
  Editable->False]], "Print",ExpressionUUID->"a0ac1c45-39a3-4178-bc93-\
cb9af5732e50"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"dA = \"\>", "\[InvisibleSpace]", 
   RowBox[{"a", " ", 
    SqrtBox[
     RowBox[{"1", "+", 
      SuperscriptBox["a", "2"]}]], " ", 
    RowBox[{"Abs", "[", "u", "]"}]}]}],
  SequenceForm[
  "dA = ", ($CellContext`a (1 + $CellContext`a^2)^Rational[1, 2]) 
   Abs[$CellContext`u]],
  Editable->False]], "Print",ExpressionUUID->"713133ee-372c-4b2f-8772-\
2e3366bd8c38"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"Gaussian K = \"\>", "\[InvisibleSpace]", "0"}],
  SequenceForm["Gaussian K = ", 0],
  Editable->False]], "Print",ExpressionUUID->"c07706b1-bb83-47cc-8815-\
e8f3cec3b0e0"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"Mean H     = \"\>", "\[InvisibleSpace]", 
   FractionBox[
    RowBox[{"Abs", "[", "u", "]"}], 
    RowBox[{"2", " ", "a", " ", 
     SqrtBox[
      RowBox[{"1", "+", 
       SuperscriptBox["a", "2"]}]], " ", 
     SuperscriptBox["u", "2"]}]]}],
  SequenceForm[
  "Mean H     = ", (((Rational[1, 2]/$CellContext`a) (1 + $CellContext`a^2)^
      Rational[-1, 2]) $CellContext`u^(-2)) Abs[$CellContext`u]],
  Editable->False]], "Print",ExpressionUUID->"05da980a-1cc0-4671-9a7d-\
ef9c812276d2"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"FullSimplify", "[", 
  RowBox[{
   RowBox[{"PrincipalCurvatures", "[", 
    RowBox[{"cone", ",", 
     RowBox[{"{", 
      RowBox[{"u", ",", "v"}], "}"}]}], "]"}], ",", 
   RowBox[{
    RowBox[{"a", ">", "0"}], "&&", 
    RowBox[{"u", "\[Element]", "Reals"}], "&&", 
    RowBox[{"0", "<", "v", "<", 
     RowBox[{"2", "\[Pi]"}]}]}]}], "]"}]], "Input",ExpressionUUID->"8717ba4f-\
0df1-4137-95c7-1dc1cad640f7"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   FractionBox["1", 
    RowBox[{"a", " ", 
     SqrtBox[
      RowBox[{"1", "+", 
       SuperscriptBox["a", "2"]}]], " ", 
     RowBox[{"Abs", "[", "u", "]"}]}]], ",", "0"}], "}"}]], "Output",Expressio\
nUUID->"b24bd2bc-3f43-41c8-8b3f-8f5e955401bb"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"GaussianCurvature", "[", 
   RowBox[{"eqn", ",", 
    RowBox[{"{", 
     RowBox[{"x", ",", "y", ",", "z"}], "}"}]}], "]"}], "//", 
  "FullSimplify"}]], "Input",ExpressionUUID->"2b84914c-9c15-46dc-8bda-\
1269f064ea0e"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   FractionBox[
    RowBox[{
     RowBox[{
      RowBox[{"-", 
       SuperscriptBox["a", "2"]}], " ", 
      RowBox[{"(", 
       RowBox[{
        SuperscriptBox["x", "2"], "+", 
        SuperscriptBox["y", "2"]}], ")"}]}], "+", 
     RowBox[{
      SuperscriptBox["a", "4"], " ", 
      SuperscriptBox["z", "2"]}]}], 
    SuperscriptBox[
     RowBox[{"(", 
      RowBox[{
       SuperscriptBox["x", "2"], "+", 
       SuperscriptBox["y", "2"], "+", 
       RowBox[{
        SuperscriptBox["a", "4"], " ", 
        SuperscriptBox["z", "2"]}]}], ")"}], "2"]], ",", "0"}], 
  "}"}]], "Output",ExpressionUUID->"dcca0e33-b4f7-48f6-955b-36ea68c42285"]
}, Open  ]]
}, Closed]],

Cell[CellGroupData[{

Cell["h-parametrization", "Subsection",ExpressionUUID->"3cb4e1cf-8e2b-465c-8e9e-88af092e8e50"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Curvatures", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{
      RowBox[{
       RowBox[{"(", 
        RowBox[{"h", "-", "u"}], ")"}], "/", "h"}], " ", "r", " ", 
      RowBox[{"Cos", "[", "v", "]"}]}], ",", 
     RowBox[{
      RowBox[{
       RowBox[{"(", 
        RowBox[{"h", "-", "u"}], ")"}], "/", "h"}], " ", "r", " ", 
      RowBox[{"Sin", "[", "v", "]"}]}], ",", "u"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"u", ",", "v"}], "}"}]}], "]"}]], "Input",ExpressionUUID->\
"fe77b1be-526a-4728-b5c5-01cc1ab3547f"],

Cell[CellGroupData[{

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"{E,F,G} = \"\>", "\[InvisibleSpace]", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"1", "+", 
      FractionBox[
       SuperscriptBox["r", "2"], 
       SuperscriptBox["h", "2"]]}], ",", "0", ",", 
     FractionBox[
      RowBox[{
       SuperscriptBox["r", "2"], " ", 
       SuperscriptBox[
        RowBox[{"(", 
         RowBox[{"h", "-", "u"}], ")"}], "2"]}], 
      SuperscriptBox["h", "2"]]}], "}"}]}],
  SequenceForm[
  "{E,F,G} = ", {
   1 + $CellContext`h^(-2) $CellContext`r^2, 
    0, ($CellContext`h^(-2) $CellContext`r^2) ($CellContext`h - \
$CellContext`u)^2}],
  Editable->False]], "Print",ExpressionUUID->"8fd65f9b-f87e-4fbe-8f18-\
661e434b744a"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"{e,f,g} = \"\>", "\[InvisibleSpace]", 
   RowBox[{"{", 
    RowBox[{"0", ",", "0", ",", 
     FractionBox[
      RowBox[{"r", " ", 
       RowBox[{"(", 
        RowBox[{"h", "-", "u"}], ")"}]}], 
      SqrtBox[
       RowBox[{
        SuperscriptBox["h", "2"], "+", 
        SuperscriptBox["r", "2"]}]]]}], "}"}]}],
  SequenceForm[
  "{e,f,g} = ", {
   0, 0, ($CellContext`r ($CellContext`h^2 + $CellContext`r^2)^
      Rational[-1, 2]) ($CellContext`h - $CellContext`u)}],
  Editable->False]], "Print",ExpressionUUID->"b033a53c-dbb2-4eab-81e1-\
32c2d88e4436"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"dA = \"\>", "\[InvisibleSpace]", 
   FractionBox[
    RowBox[{"r", " ", 
     SqrtBox[
      RowBox[{
       SuperscriptBox["h", "2"], "+", 
       SuperscriptBox["r", "2"]}]], " ", 
     RowBox[{"(", 
      RowBox[{"h", "-", "u"}], ")"}]}], 
    SuperscriptBox["h", "2"]]}],
  SequenceForm[
  "dA = ", (($CellContext`h^(-2) $CellContext`r) ($CellContext`h^2 + \
$CellContext`r^2)^Rational[1, 2]) ($CellContext`h - $CellContext`u)],
  Editable->False]], "Print",ExpressionUUID->"be708c0b-2eff-4e6c-a020-\
9f35023ef4e1"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"Gaussian K = \"\>", "\[InvisibleSpace]", "0"}],
  SequenceForm["Gaussian K = ", 0],
  Editable->False]], "Print",ExpressionUUID->"92657cfc-cf05-406e-89aa-\
0e47423ccb85"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"Mean H     = \"\>", "\[InvisibleSpace]", 
   FractionBox[
    SuperscriptBox["h", "2"], 
    RowBox[{
     SqrtBox[
      RowBox[{
       SuperscriptBox["h", "2"], "+", 
       SuperscriptBox["r", "2"]}]], " ", 
     RowBox[{"(", 
      RowBox[{
       RowBox[{"2", " ", "h", " ", "r"}], "-", 
       RowBox[{"2", " ", "r", " ", "u"}]}], ")"}]}]]}],
  SequenceForm[
  "Mean H     = ", $CellContext`h^2 (($CellContext`h^2 + $CellContext`r^2)^
     Rational[-1, 2]/((2 $CellContext`h) $CellContext`r - (
     2 $CellContext`r) $CellContext`u))],
  Editable->False]], "Print",ExpressionUUID->"351fec1e-eae5-4657-bf39-\
8223c3270f7f"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"FullSimplify", "[", 
  RowBox[{
   RowBox[{"PrincipalCurvatures", "[", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{
       RowBox[{
        RowBox[{
         RowBox[{"(", 
          RowBox[{"h", "-", "u"}], ")"}], "/", "h"}], " ", "r", " ", 
        RowBox[{"Cos", "[", "v", "]"}]}], ",", 
       RowBox[{
        RowBox[{
         RowBox[{"(", 
          RowBox[{"h", "-", "u"}], ")"}], "/", "h"}], " ", "r", " ", 
        RowBox[{"Sin", "[", "v", "]"}]}], ",", "u"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"u", ",", "v"}], "}"}]}], "]"}], ",", 
   RowBox[{
    RowBox[{"0", "<", "u", "<", "h"}], "&&", 
    RowBox[{"r", ">", "0"}]}]}], "]"}]], "Input",ExpressionUUID->"30ea8297-\
9baa-4117-b3cf-d82df6e618a0"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   FractionBox[
    SuperscriptBox["h", "2"], 
    RowBox[{
     SqrtBox[
      RowBox[{
       SuperscriptBox["h", "2"], "+", 
       SuperscriptBox["r", "2"]}]], " ", 
     RowBox[{"(", 
      RowBox[{
       RowBox[{"h", " ", "r"}], "-", 
       RowBox[{"r", " ", "u"}]}], ")"}]}]], ",", "0"}], "}"}]], "Output",Expre\
ssionUUID->"1dc3ab20-00e7-4199-a358-9b120ba4689a"]
}, Open  ]]
}, Closed]],

Cell[CellGroupData[{

Cell["Metric Tensor", "Subsection",ExpressionUUID->"8569e45f-3576-4d72-822a-002d28a7e50d"],

Cell[CellGroupData[{

Cell["a-parametrization", "Subsubsection",ExpressionUUID->"41df5e07-26a9-4160-9bf2-742b95264ee3"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"FullSimplify", "[", 
  RowBox[{
   RowBox[{"MetricTensor", "[", 
    RowBox[{"cone", ",", 
     RowBox[{"{", 
      RowBox[{"u", ",", "v"}], "}"}]}], "]"}], ",", 
   RowBox[{
    RowBox[{
     RowBox[{
      RowBox[{"-", "\[Pi]"}], "/", "2"}], "<", "u", "<", 
     RowBox[{"\[Pi]", "/", "2"}]}], "&&", 
    RowBox[{"0", "<", "v", "<", "\[Pi]"}]}]}], "]"}]], "Input",ExpressionUUID-\
>"6a937308-1fd7-4d90-84f7-ba60533a2e5a"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"1", "+", 
      SuperscriptBox["a", "2"]}], ",", "0"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0", ",", 
     RowBox[{
      SuperscriptBox["a", "2"], " ", 
      SuperscriptBox["u", "2"]}]}], "}"}]}], "}"}]], "Output",ExpressionUUID->\
"c916cd4f-a55a-4959-9aa0-fa45c0067d25"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["h-parametrization", "Subsubsection",ExpressionUUID->"e36c1deb-2efd-470c-a633-959069780ccf"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"FullSimplify", "[", 
  RowBox[{
   RowBox[{"MetricTensor", "[", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{
       RowBox[{
        RowBox[{
         RowBox[{"(", 
          RowBox[{"h", "-", "u"}], ")"}], "/", "h"}], " ", "r", " ", 
        RowBox[{"Cos", "[", "v", "]"}]}], ",", 
       RowBox[{
        RowBox[{
         RowBox[{"(", 
          RowBox[{"h", "-", "u"}], ")"}], "/", "h"}], " ", "r", " ", 
        RowBox[{"Sin", "[", "v", "]"}]}], ",", "u"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"u", ",", "v"}], "}"}]}], "]"}], ",", 
   RowBox[{
    RowBox[{
     RowBox[{
      RowBox[{"-", "\[Pi]"}], "/", "2"}], "<", "u", "<", 
     RowBox[{"\[Pi]", "/", "2"}]}], "&&", 
    RowBox[{"0", "<", "v", "<", "\[Pi]"}]}]}], "]"}]], "Input",ExpressionUUID-\
>"6a4bb619-a373-4ce0-b5d2-aea170c420a9"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"1", "+", 
      FractionBox[
       SuperscriptBox["r", "2"], 
       SuperscriptBox["h", "2"]]}], ",", "0"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0", ",", 
     FractionBox[
      RowBox[{
       SuperscriptBox["r", "2"], " ", 
       SuperscriptBox[
        RowBox[{"(", 
         RowBox[{"h", "-", "u"}], ")"}], "2"]}], 
      SuperscriptBox["h", "2"]]}], "}"}]}], "}"}]], "Output",ExpressionUUID->\
"2dcac729-d2b0-46fc-98cf-a5914bd8897a"]
}, Open  ]]
}, Open  ]]
}, Closed]],

Cell[CellGroupData[{

Cell["Christoffel Symbol of the Second Kind", "Subsection",ExpressionUUID->"db0904d5-56ed-42b0-ad33-3114ced89d35"],

Cell[CellGroupData[{

Cell["a-parametrization", "Subsubsection",ExpressionUUID->"5afde49f-2be1-43ae-b363-0f597277e7fa"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"FullSimplify", "[", 
  RowBox[{
   RowBox[{"ChristoffelSymbols", "[", 
    RowBox[{"cone", ",", 
     RowBox[{"{", 
      RowBox[{"u", ",", "v"}], "}"}]}], "]"}], ",", 
   RowBox[{
    RowBox[{
     RowBox[{
      RowBox[{"-", "\[Pi]"}], "/", "2"}], "<", "u", "<", 
     RowBox[{"\[Pi]", "/", "2"}]}], "&&", 
    RowBox[{"0", "<", "v", "<", "\[Pi]"}], "&&", 
    RowBox[{"a", ">", "0"}]}]}], "]"}]], "Input",ExpressionUUID->"1c8c676d-\
bbd9-4b8f-9d9b-629c0f02382d"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{"0", ",", "0"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"0", ",", 
       RowBox[{"-", 
        FractionBox["1", 
         RowBox[{
          SqrtBox[
           RowBox[{"1", "+", 
            SuperscriptBox["a", "2"]}]], " ", "u"}]]}]}], "}"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{"0", ",", 
       FractionBox["1", 
        RowBox[{
         SqrtBox[
          RowBox[{"1", "+", 
           SuperscriptBox["a", "2"]}]], " ", "u"}]]}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"0", ",", "0"}], "}"}]}], "}"}]}], "}"}]], "Output",ExpressionUU\
ID->"aa33d886-c873-4779-a8c3-470857175d43"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["h-parametrization", "Subsubsection",ExpressionUUID->"b1f446b1-f0b6-428d-bbca-3c12e8a12543"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"FullSimplify", "[", 
  RowBox[{
   RowBox[{"ChristoffelSymbols", "[", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{
       RowBox[{
        RowBox[{
         RowBox[{"(", 
          RowBox[{"h", "-", "u"}], ")"}], "/", "h"}], " ", "r", " ", 
        RowBox[{"Cos", "[", "v", "]"}]}], ",", 
       RowBox[{
        RowBox[{
         RowBox[{"(", 
          RowBox[{"h", "-", "u"}], ")"}], "/", "h"}], " ", "r", " ", 
        RowBox[{"Sin", "[", "v", "]"}]}], ",", "u"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"u", ",", "v"}], "}"}]}], "]"}], ",", 
   RowBox[{
    RowBox[{
     RowBox[{
      RowBox[{"-", "\[Pi]"}], "/", "2"}], "<", "u", "<", 
     RowBox[{"\[Pi]", "/", "2"}]}], "&&", 
    RowBox[{"0", "<", "v", "<", "\[Pi]"}]}]}], "]"}]], "Input",ExpressionUUID-\
>"2469a78e-6236-4f0e-93a8-ec3cb6ff8dc7"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{"0", ",", "0"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"0", ",", 
       FractionBox["1", 
        RowBox[{
         SqrtBox[
          RowBox[{"1", "+", 
           FractionBox[
            SuperscriptBox["r", "2"], 
            SuperscriptBox["h", "2"]]}]], " ", 
         RowBox[{"(", 
          RowBox[{"h", "-", "u"}], ")"}]}]]}], "}"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{"0", ",", 
       RowBox[{"-", 
        FractionBox["1", 
         RowBox[{
          SqrtBox[
           RowBox[{"1", "+", 
            FractionBox[
             SuperscriptBox["r", "2"], 
             SuperscriptBox["h", "2"]]}]], " ", 
          RowBox[{"(", 
           RowBox[{"h", "-", "u"}], ")"}]}]]}]}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"0", ",", "0"}], "}"}]}], "}"}]}], "}"}]], "Output",ExpressionUU\
ID->"d507ead8-bf9c-434f-a7a8-3609c5d5a3ed"]
}, Open  ]]
}, Open  ]]
}, Closed]],

Cell[CellGroupData[{

Cell["Vector Properties (Infinite Cone)", "Subsection",
 CellChangeTimes->{{3.580723656688343*^9, 3.580723660917078*^9}, {
  3.580725227496504*^9, 
  3.580725231277772*^9}},ExpressionUUID->"12de414f-958f-41e8-991d-\
60c8fd039f87"],

Cell[BoxData[
 RowBox[{
  RowBox[{"eqn", "=", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"a", " ", "u", " ", 
      RowBox[{"Cos", "[", "v", "]"}]}], ",", 
     RowBox[{"a", " ", "u", " ", 
      RowBox[{"Sin", "[", "v", "]"}]}], ",", "u"}], "}"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.58072491940366*^9, 3.580724920899259*^9}, {
  3.580725111011806*^9, 
  3.580725111940792*^9}},ExpressionUUID->"5800edb8-4f00-44d1-bd92-\
e1955e53d6f3"]
}, Open  ]],

Cell[CellGroupData[{

Cell["Vector Length", "Subsection",
 CellChangeTimes->{{3.580723665799407*^9, 
  3.58072366870877*^9}},ExpressionUUID->"f86b95c1-d39f-423e-a808-\
53fbf619d115"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"FullSimplify", "[", 
  RowBox[{
   RowBox[{
    RowBox[{"Norm", "[", "eqn", "]"}], "/.", 
    RowBox[{
     RowBox[{
      RowBox[{"Abs", "[", "x_", "]"}], "^", "2"}], "\[RuleDelayed]", 
     RowBox[{"x", "^", "2"}]}]}], ",", 
   RowBox[{
    RowBox[{
     RowBox[{"(", 
      RowBox[{"u", "|", "v"}], ")"}], "\[Element]", "Reals"}], "&&", 
    RowBox[{"a", ">", "0"}]}]}], "]"}]], "Input",
 CellChangeTimes->{{3.5807236696438828`*^9, 3.580723723605879*^9}, {
  3.580724926803982*^9, 
  3.580724955319602*^9}},ExpressionUUID->"a607bfae-9ebc-40ff-8d84-\
3289ad4fd20d"],

Cell[BoxData[
 RowBox[{
  SqrtBox[
   RowBox[{"1", "+", 
    SuperscriptBox["a", "2"]}]], " ", 
  RowBox[{"Abs", "[", "u", "]"}]}]], "Output",
 CellChangeTimes->{
  3.580723724358713*^9, 3.5807245742787437`*^9, {3.58072493403426*^9, 
   3.580724956274098*^9}, 
   3.580725118624551*^9},ExpressionUUID->"2bbb2477-5b15-46b3-81a8-\
37c66da5e0a9"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Normal Vector", "Subsection",
 CellChangeTimes->{{3.580723757459413*^9, 
  3.580723785410129*^9}},ExpressionUUID->"38f6f2d3-d6ce-4939-8831-\
663e564df52c"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"FullSimplify", "[", 
  RowBox[{
   RowBox[{
    RowBox[{"NormalVector", "[", 
     RowBox[{"eqn", ",", 
      RowBox[{"{", 
       RowBox[{"u", ",", "v"}], "}"}]}], "]"}], "/.", 
    RowBox[{
     RowBox[{
      RowBox[{"Abs", "[", "x_", "]"}], "^", "2"}], "\[RuleDelayed]", 
     RowBox[{"x", "^", "2"}]}]}], ",", 
   RowBox[{
    RowBox[{
     RowBox[{"(", 
      RowBox[{"u", "|", "v"}], ")"}], "\[Element]", "Reals"}], "&&", 
    RowBox[{"a", ">", "0"}]}]}], "]"}]], "Input",
 CellChangeTimes->{{3.580723777436314*^9, 3.5807237938676653`*^9}, {
  3.580723853228093*^9, 3.580723896841151*^9}, {3.580725007537857*^9, 
  3.580725019973118*^9}},ExpressionUUID->"fe3ca4ee-d7b9-49be-9922-\
81ff6bee0a57"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   FractionBox[
    RowBox[{
     RowBox[{"Cos", "[", "v", "]"}], " ", 
     RowBox[{"Sign", "[", "u", "]"}]}], 
    SqrtBox[
     RowBox[{"1", "+", 
      SuperscriptBox["a", "2"]}]]], ",", 
   FractionBox[
    RowBox[{
     RowBox[{"Sign", "[", "u", "]"}], " ", 
     RowBox[{"Sin", "[", "v", "]"}]}], 
    SqrtBox[
     RowBox[{"1", "+", 
      SuperscriptBox["a", "2"]}]]], ",", 
   RowBox[{"-", 
    FractionBox["a", 
     RowBox[{
      SqrtBox[
       RowBox[{"1", "+", 
        SuperscriptBox["a", "2"]}]], " ", 
      RowBox[{"Sign", "[", "u", "]"}]}]]}]}], "}"}]], "Output",
 CellChangeTimes->{{3.580723850640718*^9, 3.5807239051165733`*^9}, 
   3.580724574876812*^9, 3.580725020505485*^9, 
   3.580725121820341*^9},ExpressionUUID->"659985ea-4e60-477c-9c47-\
9a997b3e8e6d"]
}, Open  ]]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Vector Properties (Finite Cone)", "Section",
 CellChangeTimes->{{3.580723656688343*^9, 3.580723660917078*^9}, {
  3.580725227496504*^9, 
  3.580725237356903*^9}},ExpressionUUID->"20ef4e42-9738-402f-8157-\
1e0b7eaabd6f"],

Cell[BoxData[
 RowBox[{
  RowBox[{"eqn", "=", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"a", " ", 
      RowBox[{
       RowBox[{"(", 
        RowBox[{"h", "-", "u"}], ")"}], "/", "h"}], " ", 
      RowBox[{"Cos", "[", "v", "]"}]}], ",", 
     RowBox[{"a", " ", 
      RowBox[{
       RowBox[{"(", 
        RowBox[{"h", "-", "u"}], ")"}], "/", "h"}], " ", 
      RowBox[{"Sin", "[", "v", "]"}]}], ",", "u"}], "}"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.58072491940366*^9, 3.580724920899259*^9}, {
   3.580725111011806*^9, 3.580725111940792*^9}, 
   3.58072524818003*^9},ExpressionUUID->"b8791194-5e8d-43e3-a4dd-\
74ef34157c20"],

Cell[CellGroupData[{

Cell["Vector Length", "Subsection",
 CellChangeTimes->{{3.580723665799407*^9, 
  3.58072366870877*^9}},ExpressionUUID->"a7ac3557-4b86-4d4e-b1b5-\
9c9ab1ad8eb0"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"FullSimplify", "[", 
  RowBox[{
   RowBox[{
    RowBox[{"Norm", "[", "eqn", "]"}], "/.", 
    RowBox[{
     RowBox[{
      RowBox[{"Abs", "[", "x_", "]"}], "^", "2"}], "\[RuleDelayed]", 
     RowBox[{"x", "^", "2"}]}]}], ",", 
   RowBox[{
    RowBox[{
     RowBox[{"(", 
      RowBox[{"u", "|", "v"}], ")"}], "\[Element]", "Reals"}], "&&", 
    RowBox[{"a", ">", "0"}], "&&", 
    RowBox[{"h", ">", "0"}], "&&", 
    RowBox[{"0", "<", "u", "<", "h"}]}]}], "]"}]], "Input",
 CellChangeTimes->{{3.5807236696438828`*^9, 3.580723723605879*^9}, {
  3.580724926803982*^9, 3.580724955319602*^9}, {3.580725258097323*^9, 
  3.5807252864539003`*^9}},ExpressionUUID->"4de54aba-89db-41ad-bb41-\
4fb2e4c077ab"],

Cell[BoxData[
 FractionBox[
  SqrtBox[
   RowBox[{
    RowBox[{
     SuperscriptBox["a", "2"], " ", 
     SuperscriptBox[
      RowBox[{"(", 
       RowBox[{"h", "-", "u"}], ")"}], "2"]}], "+", 
    RowBox[{
     SuperscriptBox["h", "2"], " ", 
     SuperscriptBox["u", "2"]}]}]], "h"]], "Output",
 CellChangeTimes->{
  3.580723724358713*^9, 3.5807245742787437`*^9, {3.58072493403426*^9, 
   3.580724956274098*^9}, 3.580725118624551*^9, {3.580725261641473*^9, 
   3.580725286751239*^9}},ExpressionUUID->"9ab133fb-8efe-4eed-b723-\
ea21e90185b4"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Normal Vector", "Subsection",
 CellChangeTimes->{{3.580723757459413*^9, 
  3.580723785410129*^9}},ExpressionUUID->"da49ff24-d4d4-4ba5-ae10-\
526506a043b7"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"FullSimplify", "[", 
  RowBox[{
   RowBox[{
    RowBox[{"NormalVector", "[", 
     RowBox[{"eqn", ",", 
      RowBox[{"{", 
       RowBox[{"u", ",", "v"}], "}"}]}], "]"}], "/.", 
    RowBox[{
     RowBox[{
      RowBox[{"Abs", "[", "x_", "]"}], "^", "2"}], "\[RuleDelayed]", 
     RowBox[{"x", "^", "2"}]}]}], ",", 
   RowBox[{
    RowBox[{
     RowBox[{"(", 
      RowBox[{"u", "|", "v"}], ")"}], "\[Element]", "Reals"}], "&&", 
    RowBox[{"a", ">", "0"}], "&&", 
    RowBox[{"h", ">", "0"}], "&&", 
    RowBox[{"0", "<", "u", "<", "h"}]}]}], "]"}]], "Input",
 CellChangeTimes->{{3.580723777436314*^9, 3.5807237938676653`*^9}, {
  3.580723853228093*^9, 3.580723896841151*^9}, {3.580725007537857*^9, 
  3.580725019973118*^9}, {3.580725269023075*^9, 
  3.580725291549334*^9}},ExpressionUUID->"31faa6ef-7d59-43e0-8b07-\
7338b96a367d"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   FractionBox[
    RowBox[{"h", " ", 
     RowBox[{"Cos", "[", "v", "]"}]}], 
    SqrtBox[
     RowBox[{
      SuperscriptBox["a", "2"], "+", 
      SuperscriptBox["h", "2"]}]]], ",", 
   FractionBox[
    RowBox[{"h", " ", 
     RowBox[{"Sin", "[", "v", "]"}]}], 
    SqrtBox[
     RowBox[{
      SuperscriptBox["a", "2"], "+", 
      SuperscriptBox["h", "2"]}]]], ",", 
   FractionBox["a", 
    SqrtBox[
     RowBox[{
      SuperscriptBox["a", "2"], "+", 
      SuperscriptBox["h", "2"]}]]]}], "}"}]], "Output",
 CellChangeTimes->{{3.580723850640718*^9, 3.5807239051165733`*^9}, 
   3.580724574876812*^9, 3.580725020505485*^9, 3.580725121820341*^9, {
   3.580725270733369*^9, 
   3.580725292249295*^9}},ExpressionUUID->"e41e97da-bd67-4f82-a79b-\
0f49ea0889c2"]
}, Open  ]]
}, Open  ]]
}, Open  ]]
}, Open  ]]
},
WindowSize->{745, 943},
WindowMargins->{{-1177, Automatic}, {Automatic, 4}},
ShowSelection->True,
FrontEndVersion->"11.1 for Mac OS X x86 (32-bit, 64-bit Kernel) (June 2, \
2017)",
StyleDefinitions->"Default.nb",
PrivateNotebookOptions -> {"NotebookAuthor" -> ""}
]
(* End of Notebook Content *)

(* Internal cache information *)
(*CellTagsOutline
CellTagsIndex->{}
*)
(*CellTagsIndex
CellTagsIndex->{}
*)
(*NotebookFileOutline
Notebook[{
Cell[CellGroupData[{
Cell[580, 22, 76, 0, 92, "Title", "ExpressionUUID" -> \
"f259bd9a-34b4-4c72-8829-ead4fdd6b53c"],
Cell[CellGroupData[{
Cell[681, 26, 83, 0, 44, "Subsection", "ExpressionUUID" -> \
"dec3b9a9-505e-4edf-9899-c9638011f1dc"],
Cell[767, 28, 110, 3, 49, "Text", "ExpressionUUID" -> \
"aaf9cdf6-da73-43dc-90a8-5daa9626519a"],
Cell[880, 33, 310, 7, 30, "Text", "ExpressionUUID" -> \
"5e6b632d-0c0e-4f63-bde7-2ee615318e57"],
Cell[1193, 42, 338, 10, 30, "Text", "ExpressionUUID" -> \
"bc883f50-ad3e-4414-8032-ddc71e38958c"],
Cell[1534, 54, 154, 2, 30, "Text", "ExpressionUUID" -> \
"2354310b-3812-454e-ad4a-e30e919c5b45"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1725, 61, 91, 0, 44, "Subsection", "ExpressionUUID" -> \
"54d141f2-9114-4e43-a833-d5eeb55d2d21"],
Cell[CellGroupData[{
Cell[1841, 65, 155, 3, 70, "Input", "ExpressionUUID" -> \
"399d948f-ce2d-44d1-8c97-e362af134d35",
 InitializationCell->True],
Cell[1999, 70, 397, 7, 56, "Message", "ExpressionUUID" -> \
"337dcc65-c23c-4297-8644-6717eb786ddb"],
Cell[2399, 79, 515, 9, 24, "Message", "ExpressionUUID" -> \
"4c86dbe9-2b34-4066-9722-f095c77a6927"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[2963, 94, 89, 0, 44, "Subsection", "ExpressionUUID" -> \
"6a5ef9eb-b718-4ab7-a5b0-16738e99c6fd"],
Cell[3055, 96, 548, 17, 32, "Input", "ExpressionUUID" -> \
"ba1704f3-d34b-4742-86aa-5e37145296f1"],
Cell[3606, 115, 375, 12, 32, "Input", "ExpressionUUID" -> \
"e12caf26-61ac-4b9c-b992-7229af56f8a7"],
Cell[3984, 129, 203, 6, 32, "Input", "ExpressionUUID" -> \
"345d58ae-f89f-4f68-b973-f4ba4873600d"],
Cell[4190, 137, 213, 6, 50, "Input", "ExpressionUUID" -> \
"4c847caf-a2e5-42fa-b05e-186b648b94fc"],
Cell[4406, 145, 142, 3, 32, "Input", "ExpressionUUID" -> \
"8d39e6c6-9a8d-48ed-91d1-218ee0c47ffd"]
}, Open  ]],
Cell[CellGroupData[{
Cell[4585, 153, 81, 0, 64, "Section", "ExpressionUUID" -> \
"6943dfcf-2c5d-4480-b544-e85dec602dfb"],
Cell[CellGroupData[{
Cell[4691, 157, 217, 5, 32, "Input", "ExpressionUUID" -> \
"b2d220bd-c5c2-47a0-8f3f-1d782f42ca34"],
Cell[4911, 164, 667, 18, 55, "Output", "ExpressionUUID" -> \
"24580e63-ad0f-46c7-901d-7f5ac226a9e2"]
}, Open  ]],
Cell[CellGroupData[{
Cell[5615, 187, 219, 5, 32, "Input", "ExpressionUUID" -> \
"188ae0b0-6064-4376-9587-cdc0244cb935"],
Cell[5837, 194, 1059, 28, 82, "Output", "ExpressionUUID" -> \
"8108d055-b99a-43f9-a12b-e865e46fb360"]
}, Open  ]],
Cell[CellGroupData[{
Cell[6933, 227, 209, 5, 32, "Input", "ExpressionUUID" -> \
"fb3ad633-e2a4-4540-befe-a3951de394db"],
Cell[7145, 234, 314, 9, 32, "Output", "ExpressionUUID" -> \
"dc94649a-46d3-4351-8cac-8ba316a7b3de"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[7508, 249, 78, 0, 64, "Section", "ExpressionUUID" -> \
"26e2f0e3-8418-47d5-bea1-650f54841cc9"],
Cell[CellGroupData[{
Cell[7611, 253, 93, 0, 70, "Subsection", "ExpressionUUID" -> \
"c6d1ac0e-0e4b-4988-b805-f9a72fe3ddb5"],
Cell[CellGroupData[{
Cell[7729, 257, 388, 11, 70, "Input", "ExpressionUUID" -> \
"6c662a0b-8cfd-409f-aa56-989148b98cb2"],
Cell[8120, 270, 44802, 743, 70, "Output", "ExpressionUUID" -> \
"5f17d6d4-c4a0-4384-a17d-3de90b99bf82"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[52971, 1019, 89, 0, 70, "Subsection", "ExpressionUUID" -> \
"68eefd57-e5db-4ebf-9be5-002bc71a4c05"],
Cell[CellGroupData[{
Cell[53085, 1023, 378, 9, 70, "Input", "ExpressionUUID" -> \
"f1ea9dd1-44ea-42ad-ac1d-fc13cf5d1bfc"],
Cell[53466, 1034, 943, 23, 70, "Output", "ExpressionUUID" -> \
"9dfbdf89-ebdb-4772-8395-26138a286cd8"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[54458, 1063, 98, 0, 70, "Subsection", "ExpressionUUID" -> \
"18b1706a-70f8-4e77-a190-585a7d3b1764"],
Cell[CellGroupData[{
Cell[54581, 1067, 486, 12, 70, "Input", "ExpressionUUID" -> \
"b3c8b010-ae89-4069-8f01-3c8d18843754"],
Cell[55070, 1081, 108516, 1808, 70, "Output", "ExpressionUUID" -> \
"094db0d0-8699-4244-ad26-7e93d444e667"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[163635, 2895, 100, 0, 70, "Subsection", "ExpressionUUID" -> \
"95eca837-bddc-4686-9e2e-df343751256a"],
Cell[CellGroupData[{
Cell[163760, 2899, 260, 6, 70, "Input", "ExpressionUUID" -> \
"8fa2faa2-8605-482e-bbcc-376a7a7e926f"],
Cell[164023, 2907, 666, 12, 70, "Message", "ExpressionUUID" -> \
"761a7731-0e09-460f-a303-80eb013cdcd9"],
Cell[164692, 2921, 1032, 26, 70, "Output", "ExpressionUUID" -> \
"56429242-34e9-4ab0-bdcb-a2d851a1026c"]
}, Open  ]],
Cell[165739, 2950, 284, 8, 70, "Text", "ExpressionUUID" -> \
"9aeacd78-8056-453c-99d9-4d6c4b9a71bb"]
}, Open  ]],
Cell[CellGroupData[{
Cell[166060, 2963, 90, 0, 70, "Subsection", "ExpressionUUID" -> \
"c470f0a2-5699-4565-8dcc-b811b6f9bbe1"],
Cell[CellGroupData[{
Cell[166175, 2967, 478, 12, 70, "Input", "ExpressionUUID" -> \
"b62697f7-7f4a-4cd6-8c39-3a4f59195ddb"],
Cell[166656, 2981, 66208, 1093, 70, "Output", "ExpressionUUID" -> \
"8f72973a-8091-4d55-b889-3c23e1e67f8e"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[232913, 4080, 87, 0, 70, "Subsection", "ExpressionUUID" -> \
"8d428203-2452-483c-ab24-4f33ca3d3ad5"],
Cell[CellGroupData[{
Cell[233025, 4084, 82, 0, 70, "Subsubsection", "ExpressionUUID" -> \
"a85a7e40-df6d-4632-ab6a-2ee56a9bbdf5"],
Cell[233110, 4086, 115, 1, 70, "Input", "ExpressionUUID" -> \
"09044ece-81a1-45f5-ad4a-c5fa70b6d1ad"],
Cell[CellGroupData[{
Cell[233250, 4091, 254, 6, 70, "Input", "ExpressionUUID" -> \
"79dde59a-23d4-4319-a95f-c826bcb85a3e"],
Cell[233507, 4099, 6550, 190, 70, 2334, 118, "GraphicsData", "PostScript", \
"Graphics", "ExpressionUUID" -> "a1af2a2f-fcc6-44bf-92d4-82cfcf8a5163",
 Evaluatable->False],
Cell[240060, 4291, 193, 5, 70, "Output", "ExpressionUUID" -> \
"8fe1971c-af5b-4055-90f5-b7d4c4898fb3"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[240302, 4302, 84, 0, 70, "Subsubsection", "ExpressionUUID" -> \
"86fcb99f-1d88-4eec-a10b-5dae3bdd7b70"],
Cell[CellGroupData[{
Cell[240411, 4306, 212, 5, 70, "Input", "ExpressionUUID" -> \
"a4d6000b-68f3-421b-b55d-d2c16deada66"],
Cell[240626, 4313, 151, 3, 70, "Output", "ExpressionUUID" -> \
"435ed917-e006-4c16-bec0-9b1cc273672c"]
}, Open  ]]
}, Open  ]]
}, Closed]],
Cell[CellGroupData[{
Cell[240838, 4323, 91, 0, 70, "Subsection", "ExpressionUUID" -> \
"ad8f807d-49df-4b44-b04d-8dbc4748b8e5"],
Cell[CellGroupData[{
Cell[240954, 4327, 981, 27, 70, "Input", "ExpressionUUID" -> \
"09190051-1e7a-423f-aabe-7f8e4cf12963"],
Cell[241938, 4356, 7641, 256, 70, 3716, 190, "GraphicsData", "PostScript", \
"Graphics", "ExpressionUUID" -> "328d1312-31c5-4318-b183-53ca02d172fa"],
Cell[249582, 4614, 121, 0, 70, "Output", "ExpressionUUID" -> \
"02656817-c388-446f-ae62-33cdde0698c7"]
}, Open  ]]
}, Closed]],
Cell[CellGroupData[{
Cell[249752, 4620, 93, 0, 70, "Subsection", "ExpressionUUID" -> \
"12d5811a-6d31-4cd1-9a46-43c2bc343d9f"],
Cell[CellGroupData[{
Cell[249870, 4624, 617, 17, 70, "Input", "ExpressionUUID" -> \
"88491eb0-85fd-4db4-89e7-fa6143262c41"],
Cell[250490, 4643, 60098, 2973, 70, 52713, 2850, "GraphicsData", \
"PostScript", "Graphics", "ExpressionUUID" -> \
"38a59b6c-fa63-44ce-9109-f42d97e0064d"],
Cell[310591, 7618, 193, 5, 70, "Output", "ExpressionUUID" -> \
"5ef01210-749f-46ec-b741-2f68dfe198ea"]
}, Open  ]]
}, Closed]],
Cell[CellGroupData[{
Cell[310833, 7629, 93, 0, 70, "Subsection", "ExpressionUUID" -> \
"12c9a272-30f0-4fcc-a543-15dc41f54bf8"],
Cell[310929, 7631, 127, 1, 70, "Input", "ExpressionUUID" -> \
"a8930621-2b81-48c1-9388-ed7e36e5c250"],
Cell[CellGroupData[{
Cell[311081, 7636, 846, 26, 70, "Input", "ExpressionUUID" -> \
"eff11413-bb6d-4889-8b1d-4d1d07ddbf2f"],
Cell[311930, 7664, 31452, 1424, 70, 22395, 1273, "GraphicsData", \
"PostScript", "Graphics", "ExpressionUUID" -> \
"4b1d1fa4-2a68-4405-8d12-bd9459417873"],
Cell[343385, 9090, 193, 5, 70, "Output", "ExpressionUUID" -> \
"ed1584b6-c879-4135-9d45-5c3d29beee34"]
}, Open  ]]
}, Closed]],
Cell[CellGroupData[{
Cell[343627, 9101, 91, 0, 70, "Subsection", "ExpressionUUID" -> \
"a65e0d99-47d4-4c66-9c7f-5f569387edef"],
Cell[343721, 9103, 114, 1, 70, "Input", "ExpressionUUID" -> \
"1b0d41af-169a-4e18-a525-7817815aa3d9"],
Cell[CellGroupData[{
Cell[343860, 9108, 914, 27, 70, "Input", "ExpressionUUID" -> \
"116b4fe0-ebf5-46a7-80b4-03fed3bb28cc"],
Cell[344777, 9137, 47014, 2141, 70, 37621, 1986, "GraphicsData", \
"PostScript", "Graphics", "ExpressionUUID" -> \
"5baa57a3-d3b2-4005-a61a-e24912655ef2"],
Cell[391794, 11280, 193, 5, 70, "Output", "ExpressionUUID" -> \
"2b816747-f3f3-4b16-bb77-b32f6d5c765f"]
}, Open  ]]
}, Closed]]
}, Open  ]],
Cell[CellGroupData[{
Cell[392048, 11292, 82, 0, 70, "Section", "ExpressionUUID" -> \
"8c76d865-d147-4e51-96b5-1f93083f3fcc"],
Cell[CellGroupData[{
Cell[392155, 11296, 83, 0, 70, "Subsection", "ExpressionUUID" -> \
"36e7fdbe-4ed3-45af-9d23-e5637e89b4c7"],
Cell[CellGroupData[{
Cell[392263, 11300, 548, 17, 70, "Input", "ExpressionUUID" -> \
"7b14b3a3-06c3-451e-b432-20f353d7b51e"],
Cell[392814, 11319, 426, 13, 70, "Output", "ExpressionUUID" -> \
"759af9f1-83ed-4d22-b7ae-29f4325a29bb"]
}, Open  ]],
Cell[CellGroupData[{
Cell[393277, 11337, 245, 7, 70, "Input", "ExpressionUUID" -> \
"815e613c-1d2b-4007-b4c9-58d23e80bfd8"],
Cell[393525, 11346, 368, 11, 70, "Output", "ExpressionUUID" -> \
"8d6e5b6e-978e-4e38-898b-e69751bce32d"]
}, Open  ]],
Cell[CellGroupData[{
Cell[393930, 11362, 189, 5, 70, "Input", "ExpressionUUID" -> \
"07ac0c4a-1979-48db-807f-144d0fe5921a"],
Cell[394122, 11369, 253, 8, 70, "Output", "ExpressionUUID" -> \
"45450cd8-b72c-4cf4-ad75-66ec5d66b6e2"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[394424, 11383, 88, 0, 70, "Subsection", "ExpressionUUID" -> \
"611a20ea-3ed4-4310-b9f5-073c8536e71c"],
Cell[CellGroupData[{
Cell[394537, 11387, 1013, 29, 70, "Input", "ExpressionUUID" -> \
"00e71abc-b357-4f39-9481-ce24ce0c038a"],
Cell[395553, 11418, 286, 9, 70, "Output", "ExpressionUUID" -> \
"3eeeed38-4c81-45b3-aacc-c74ed173ef09"]
}, Open  ]],
Cell[395854, 11430, 312, 10, 70, "Input", "ExpressionUUID" -> \
"d1d6c0c9-025e-4d20-bfe5-83cda0ef06d7"]
}, Open  ]]
}, Closed]],
Cell[CellGroupData[{
Cell[396215, 11446, 84, 0, 70, "Section", "ExpressionUUID" -> \
"c4c55228-746e-47c6-895b-df5faf84e043"],
Cell[CellGroupData[{
Cell[396324, 11450, 85, 0, 70, "Subsection", "ExpressionUUID" -> \
"988cfa34-e54b-4dd4-9aa5-348a05adf8e7"],
Cell[CellGroupData[{
Cell[396434, 11454, 89, 0, 70, "Subsubsection", "ExpressionUUID" -> \
"4e88d2b2-a364-4e6f-89b4-2df6fe3a8ba5"],
Cell[CellGroupData[{
Cell[396548, 11458, 1063, 31, 70, "Input", "ExpressionUUID" -> \
"30d97233-3160-46f9-a59f-3be951bd4418"],
Cell[397614, 11491, 201, 5, 70, "Output", "ExpressionUUID" -> \
"cae3fd11-318e-421f-a6e0-b6f8e9e7f662"]
}, Open  ]],
Cell[CellGroupData[{
Cell[397852, 11501, 238, 6, 70, "Input", "ExpressionUUID" -> \
"58218481-6cdb-4a2f-a658-661af1012f98"],
Cell[398093, 11509, 103, 1, 70, "Output", "ExpressionUUID" -> \
"461aa65b-4551-40d9-a14e-b13b1e7bdc41"]
}, Open  ]],
Cell[CellGroupData[{
Cell[398233, 11515, 702, 19, 70, "Input", "ExpressionUUID" -> \
"3c0d6b95-999b-4fc1-9937-c3427d3f3af0"],
Cell[398938, 11536, 223, 6, 70, "Output", "ExpressionUUID" -> \
"0f6f2432-1e1b-4f9e-b8c2-4d33ec6ac5b2"]
}, Open  ]],
Cell[CellGroupData[{
Cell[399198, 11547, 704, 19, 70, "Input", "ExpressionUUID" -> \
"18cb03b0-6a3f-4d04-ad19-3e4ef50d4ddc"],
Cell[399905, 11568, 223, 6, 70, "Output", "ExpressionUUID" -> \
"2c46ecc0-d23f-49c9-84b5-e8c4cf1310a7"]
}, Open  ]],
Cell[CellGroupData[{
Cell[400165, 11579, 694, 19, 70, "Input", "ExpressionUUID" -> \
"a6eadfc5-9b79-4b27-ba66-35f80ec9c29c"],
Cell[400862, 11600, 221, 6, 70, "Output", "ExpressionUUID" -> \
"e941fe70-4dde-4e48-8fea-d332397a92ca"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[401132, 11612, 94, 0, 70, "Subsubsection", "ExpressionUUID" -> \
"e6d07596-483e-4bd4-9ed2-40032e2a8329"],
Cell[CellGroupData[{
Cell[401251, 11616, 189, 4, 70, "Input", "ExpressionUUID" -> \
"3afba8da-633d-4ead-bcbc-3a354a55bba9"],
Cell[401443, 11622, 162, 4, 70, "Output", "ExpressionUUID" -> \
"b9bc24b2-6946-4cd2-9754-95c0c541e867"]
}, Open  ]],
Cell[CellGroupData[{
Cell[401642, 11631, 409, 10, 70, "Input", "ExpressionUUID" -> \
"882f853d-5a5f-497b-bcc1-fe66fbf953c9"],
Cell[402054, 11643, 222, 6, 70, "Output", "ExpressionUUID" -> \
"e952c895-44c4-4e73-9109-6c332f29c8e6"]
}, Open  ]],
Cell[CellGroupData[{
Cell[402313, 11654, 411, 10, 70, "Input", "ExpressionUUID" -> \
"ceaa882b-ea76-4c06-b39c-f8fa3754757a"],
Cell[402727, 11666, 223, 6, 70, "Output", "ExpressionUUID" -> \
"da548c2c-d6fd-4dc9-bfac-b867ddc97c5b"]
}, Open  ]],
Cell[CellGroupData[{
Cell[402987, 11677, 401, 10, 70, "Input", "ExpressionUUID" -> \
"49ef2005-7d02-478e-b0e1-abcdf3acf827"],
Cell[403391, 11689, 221, 6, 70, "Output", "ExpressionUUID" -> \
"2e257e15-5619-433a-b51d-d57803c2c7fb"]
}, Open  ]]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[403673, 11702, 98, 0, 70, "Subsection", "ExpressionUUID" -> \
"12f36498-135c-4ae3-9129-09ec00edce8c"],
Cell[CellGroupData[{
Cell[403796, 11706, 737, 21, 70, "Input", "ExpressionUUID" -> \
"4ac4a842-b9ba-40e3-8921-418a61c362d5"],
Cell[404536, 11729, 160, 4, 70, "Output", "ExpressionUUID" -> \
"4e82f7e1-a847-45b9-8094-db4b216a1482"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[404745, 11739, 96, 0, 70, "Subsection", "ExpressionUUID" -> \
"99e654df-a419-4652-9537-f682a6fcc580"],
Cell[CellGroupData[{
Cell[404866, 11743, 779, 22, 70, "Input", "ExpressionUUID" -> \
"712d6113-751e-4a99-91e3-0b4191b2355f"],
Cell[405648, 11767, 1671, 53, 70, "Output", "ExpressionUUID" -> \
"73378380-e9dd-495c-a431-ee607098fe48"]
}, Open  ]],
Cell[CellGroupData[{
Cell[407356, 11825, 1699, 56, 70, "Input", "ExpressionUUID" -> \
"d5415059-2750-476b-bb95-6e856e20a278"],
Cell[409058, 11883, 102, 0, 70, "Output", "ExpressionUUID" -> \
"1b98555c-5537-4876-b523-4061c3311f30"]
}, Open  ]],
Cell[CellGroupData[{
Cell[409197, 11888, 769, 24, 70, "Input", "ExpressionUUID" -> \
"1ad72235-d354-4f56-8f48-8d8f19bbdb61"],
Cell[409969, 11914, 101, 0, 70, "Output", "ExpressionUUID" -> \
"b36d8650-454f-4917-988e-8d1e9e8d98c0"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[410119, 11920, 104, 0, 70, "Subsection", "ExpressionUUID" -> \
"a4d4ce40-5e57-4cc1-ace0-963f0553a577"],
Cell[CellGroupData[{
Cell[410248, 11924, 748, 21, 70, "Input", "ExpressionUUID" -> \
"93b5db04-aa01-423f-9a99-a4026aff517e"],
Cell[410999, 11947, 213, 6, 70, "Output", "ExpressionUUID" -> \
"5ba2207c-b486-4e2b-9700-ef63ff9f8afa"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[411261, 11959, 102, 0, 70, "Subsection", "ExpressionUUID" -> \
"93d9d047-b5cb-4824-bd55-43f0e4104d7f"],
Cell[CellGroupData[{
Cell[411388, 11963, 790, 22, 70, "Input", "ExpressionUUID" -> \
"be6c267e-2d69-4a82-94e2-025fac1a3a72"],
Cell[412181, 11987, 321, 10, 70, "Output", "ExpressionUUID" -> \
"1a7c5f2b-b8d3-4d9a-8050-78b990c87183"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[412551, 12003, 83, 0, 70, "Subsection", "ExpressionUUID" -> \
"dabac622-3a1a-4332-9272-dc4168678b33"],
Cell[CellGroupData[{
Cell[412659, 12007, 89, 0, 70, "Subsubsection", "ExpressionUUID" -> \
"6cef7153-e3eb-43cc-a57f-8eaa3a902f8f"],
Cell[CellGroupData[{
Cell[412773, 12011, 442, 14, 70, "Input", "ExpressionUUID" -> \
"e9fb0dc7-a3c4-4878-ad87-3ee8a14f9ec5"],
Cell[413218, 12027, 176, 4, 70, "Output", "ExpressionUUID" -> \
"721e2907-6bff-4463-b796-444fa50cbd94"]
}, Open  ]],
Cell[CellGroupData[{
Cell[413431, 12036, 926, 28, 70, "Input", "ExpressionUUID" -> \
"c61826f4-22fa-42ed-b8cc-b8e61a14cd65"],
Cell[414360, 12066, 176, 4, 70, "Output", "ExpressionUUID" -> \
"77fafb04-eb25-41de-a22a-24c8c37874d6"]
}, Open  ]],
Cell[CellGroupData[{
Cell[414573, 12075, 545, 14, 70, "Input", "ExpressionUUID" -> \
"994a7a51-37f6-48f5-950b-fe8267b335af"],
Cell[415121, 12091, 236, 6, 70, "Output", "ExpressionUUID" -> \
"f8d0b83f-9b3d-4dd5-b278-688619fb693c"]
}, Open  ]],
Cell[CellGroupData[{
Cell[415394, 12102, 547, 14, 70, "Input", "ExpressionUUID" -> \
"7e700008-4802-4bf3-a3fc-2754e07bb06f"],
Cell[415944, 12118, 237, 6, 70, "Output", "ExpressionUUID" -> \
"7d0c68f1-1fa6-4308-bb14-050b0d6889fb"]
}, Open  ]],
Cell[CellGroupData[{
Cell[416218, 12129, 537, 14, 70, "Input", "ExpressionUUID" -> \
"420e7815-ce8d-440a-b2fb-993bf7d7aa05"],
Cell[416758, 12145, 235, 6, 70, "Output", "ExpressionUUID" -> \
"37680e48-7f71-4033-85bc-2aed6ae0beaf"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[417042, 12157, 93, 0, 70, "Subsubsection", "ExpressionUUID" -> \
"75861465-5fb5-42ad-9124-bbe692322695"],
Cell[CellGroupData[{
Cell[417160, 12161, 220, 5, 70, "Input", "ExpressionUUID" -> \
"2da69c97-84c8-4d15-ad1c-eefaa76f6d42"],
Cell[417383, 12168, 176, 4, 70, "Output", "ExpressionUUID" -> \
"dd454192-264f-4f41-bb2f-082306f4b074"]
}, Open  ]],
Cell[CellGroupData[{
Cell[417596, 12177, 408, 10, 70, "Input", "ExpressionUUID" -> \
"0eb042a6-4856-4f92-a109-2a937c0c5bfa"],
Cell[418007, 12189, 236, 6, 70, "Output", "ExpressionUUID" -> \
"7bbb9d0f-98ea-47a6-ac3f-3d1ea6ef1ec7"]
}, Open  ]],
Cell[CellGroupData[{
Cell[418280, 12200, 410, 10, 70, "Input", "ExpressionUUID" -> \
"60a52dba-18d5-4426-8fd1-ac05a242fc71"],
Cell[418693, 12212, 236, 6, 70, "Output", "ExpressionUUID" -> \
"4e210c74-4a01-4b7f-8bea-577494f5a2eb"]
}, Open  ]],
Cell[CellGroupData[{
Cell[418966, 12223, 400, 10, 70, "Input", "ExpressionUUID" -> \
"a6e6a5ca-3676-4f6d-b531-2559a7eba431"],
Cell[419369, 12235, 235, 6, 70, "Output", "ExpressionUUID" -> \
"e1a8583d-08b4-4971-aecb-9f9d14dd8cad"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[419653, 12247, 86, 0, 70, "Subsubsection", "ExpressionUUID" -> \
"ecc932f2-d58f-4659-af13-68b697cc1579"],
Cell[CellGroupData[{
Cell[419764, 12251, 401, 10, 70, "Input", "ExpressionUUID" -> \
"901ab008-afa1-43ec-b14f-6f74671a0d93"],
Cell[420168, 12263, 236, 6, 70, "Output", "ExpressionUUID" -> \
"193abe97-7044-464a-8d3a-f1dbd696be40"]
}, Open  ]],
Cell[CellGroupData[{
Cell[420441, 12274, 403, 10, 70, "Input", "ExpressionUUID" -> \
"745e1b31-d7ed-479b-a9ec-e9154d9c60dd"],
Cell[420847, 12286, 236, 6, 70, "Output", "ExpressionUUID" -> \
"491287e1-1cbb-4ec8-a972-6c7d76419d5e"]
}, Open  ]],
Cell[CellGroupData[{
Cell[421120, 12297, 393, 10, 70, "Input", "ExpressionUUID" -> \
"4e03b752-d4cf-434a-bb7d-26ade0bd184d"],
Cell[421516, 12309, 235, 6, 70, "Output", "ExpressionUUID" -> \
"e10e9926-e652-4c45-a633-bb3b00260e33"]
}, Open  ]]
}, Open  ]]
}, Open  ]],
Cell[421790, 12320, 91, 0, 70, "Subsection", "ExpressionUUID" -> \
"928bc008-a542-409e-966c-be7de7b282e8"],
Cell[CellGroupData[{
Cell[421906, 12324, 124, 0, 70, "Subsection", "ExpressionUUID" -> \
"388558a4-e4af-450b-aaf3-df43bbf56663"],
Cell[CellGroupData[{
Cell[422055, 12328, 82, 0, 70, "Subsubsection", "ExpressionUUID" -> \
"b87d1612-77e9-4129-af9e-e14fce9fb37d"],
Cell[CellGroupData[{
Cell[422162, 12332, 2751, 76, 70, "Input", "ExpressionUUID" -> \
"88d406f0-10c0-40cf-bb69-111ed5deeae5"],
Cell[424916, 12410, 150, 3, 70, "Output", "ExpressionUUID" -> \
"b2801179-fd9c-42df-a88d-584c686c0029"]
}, Open  ]],
Cell[CellGroupData[{
Cell[425103, 12418, 119, 1, 70, "Input", "ExpressionUUID" -> \
"df7d4f34-7e36-46c3-9d81-091aede6bdd8"],
Cell[425225, 12421, 1227, 37, 70, "Output", "ExpressionUUID" -> \
"249220b4-7452-41c8-8c9b-8e07b4c4a5b8"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[426501, 12464, 82, 0, 70, "Subsubsection", "ExpressionUUID" -> \
"b0bacad7-afce-4734-b494-df1a12cae80f"],
Cell[CellGroupData[{
Cell[426608, 12468, 89, 0, 70, "Input", "ExpressionUUID" -> \
"c2fc4090-fee3-40b3-bffb-4d5f605921cb"],
Cell[426700, 12470, 138, 1, 70, "Output", "ExpressionUUID" -> \
"56aeea18-e2e2-4729-9fa0-8cec9067aedf"]
}, Open  ]],
Cell[CellGroupData[{
Cell[426875, 12476, 2751, 76, 70, "Input", "ExpressionUUID" -> \
"78f3353f-74bf-4ae5-a05b-0074a5e9346c"],
Cell[429629, 12554, 143, 3, 70, "Output", "ExpressionUUID" -> \
"1acdfb73-1172-4d92-95e9-cc90bd716f2f"]
}, Open  ]],
Cell[CellGroupData[{
Cell[429809, 12562, 119, 1, 70, "Input", "ExpressionUUID" -> \
"201a3e4c-e469-474f-8861-24b8da2980dc"],
Cell[429931, 12565, 1227, 37, 70, "Output", "ExpressionUUID" -> \
"a7ffab8e-20b4-42fe-8450-6f4b98e26fb5"]
}, Open  ]],
Cell[CellGroupData[{
Cell[431195, 12607, 115, 1, 70, "Input", "ExpressionUUID" -> \
"68e08760-233a-420b-a6e4-259b914e07d6"],
Cell[431313, 12610, 101, 0, 70, "Output", "ExpressionUUID" -> \
"5e90d4ec-21b1-4dfc-84ff-12cf3afa072d"]
}, Open  ]]
}, Open  ]]
}, Closed]],
Cell[CellGroupData[{
Cell[431475, 12617, 139, 1, 70, "Subsection", "ExpressionUUID" -> \
"b743c6f0-0cee-48ee-a172-fd9048eece42"],
Cell[CellGroupData[{
Cell[431639, 12622, 82, 0, 70, "Subsubsection", "ExpressionUUID" -> \
"6f54bf8e-2c11-4ca0-a6ed-edd71cbf6bbe"],
Cell[CellGroupData[{
Cell[431746, 12626, 3006, 84, 70, "Input", "ExpressionUUID" -> \
"4b2abd57-fa5a-48ef-a66f-7d65426c1a95"],
Cell[434755, 12712, 150, 3, 70, "Output", "ExpressionUUID" -> \
"17ee2aab-9c58-41db-a9b1-7c359700fb42"]
}, Open  ]],
Cell[CellGroupData[{
Cell[434942, 12720, 119, 1, 70, "Input", "ExpressionUUID" -> \
"b2035723-4d57-471f-9a61-eb56bd986bea"],
Cell[435064, 12723, 1165, 35, 70, "Output", "ExpressionUUID" -> \
"a1ee010d-97b1-466c-a692-5310cb617b43"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[436278, 12764, 82, 0, 70, "Subsubsection", "ExpressionUUID" -> \
"62bd6621-502b-4e16-8bb1-600f1929d55b"],
Cell[CellGroupData[{
Cell[436385, 12768, 89, 0, 70, "Input", "ExpressionUUID" -> \
"23629582-aed0-4fa2-9dc8-1824b645b9eb"],
Cell[436477, 12770, 138, 1, 70, "Output", "ExpressionUUID" -> \
"8e5fc3b0-d64f-4e68-8962-0b45f7ddc2d3"]
}, Open  ]],
Cell[CellGroupData[{
Cell[436652, 12776, 3006, 84, 70, "Input", "ExpressionUUID" -> \
"e2c734b0-cfbc-4f76-821a-2241aeae4048"],
Cell[439661, 12862, 151, 3, 70, "Output", "ExpressionUUID" -> \
"43bcc859-ffb9-4cc7-abc8-6507cd413686"]
}, Open  ]],
Cell[CellGroupData[{
Cell[439849, 12870, 119, 1, 70, "Input", "ExpressionUUID" -> \
"627ed354-e4f0-41ed-8caa-02cbf30bc258"],
Cell[439971, 12873, 1165, 35, 70, "Output", "ExpressionUUID" -> \
"4f54f26d-579b-41b8-8aa5-7a2fc018b3cc"]
}, Open  ]]
}, Open  ]]
}, Closed]],
Cell[CellGroupData[{
Cell[441197, 12915, 89, 0, 70, "Subsection", "ExpressionUUID" -> \
"75daf8ca-29fd-4736-af7e-e4af7f2cdcad"],
Cell[CellGroupData[{
Cell[441311, 12919, 775, 23, 70, "Input", "ExpressionUUID" -> \
"233a2e5d-afeb-48da-93eb-3f119ef61042"],
Cell[442089, 12944, 423, 14, 70, "Output", "ExpressionUUID" -> \
"8d4cfa0f-ebba-462c-bba7-169dced0390c"]
}, Open  ]],
Cell[CellGroupData[{
Cell[442549, 12963, 405, 11, 70, "Input", "ExpressionUUID" -> \
"9e8f0971-83dc-4dd9-83fa-440e07c4a3ed"],
Cell[442957, 12976, 303, 10, 70, "Output", "ExpressionUUID" -> \
"14faef66-edf4-4d73-b5a7-9ea95285b588"]
}, Open  ]],
Cell[CellGroupData[{
Cell[443297, 12991, 531, 17, 70, "Input", "ExpressionUUID" -> \
"03b16899-bce2-42e6-93d9-b7fc7b0d67a7"],
Cell[443831, 13010, 209, 6, 70, "Output", "ExpressionUUID" -> \
"e0eb7f11-e9a0-444e-8369-3314b6c3dd07"]
}, Open  ]],
Cell[CellGroupData[{
Cell[444077, 13021, 562, 16, 70, "Input", "ExpressionUUID" -> \
"bd5714f9-5e1b-4bed-909a-9f7c1815d1d2"],
Cell[444642, 13039, 209, 6, 70, "Output", "ExpressionUUID" -> \
"f8651716-e2d8-466e-b74c-4a16197c5341"]
}, Open  ]]
}, Closed]],
Cell[CellGroupData[{
Cell[444900, 13051, 87, 0, 70, "Subsection", "ExpressionUUID" -> \
"2a530a36-eafe-4966-a10b-878d4b2201b8"],
Cell[444990, 13053, 326, 9, 70, "Input", "ExpressionUUID" -> \
"c114103d-eb58-444d-9d35-6fab4812538e"],
Cell[CellGroupData[{
Cell[445341, 13066, 382, 11, 70, "Input", "ExpressionUUID" -> \
"2a1a93c0-35fa-4edf-adcb-1561c858d2b3"],
Cell[445726, 13079, 118149, 1916, 70, "Output", "ExpressionUUID" -> \
"8f49d6df-ebce-4333-8ae6-f40b7cba4eec"]
}, Open  ]]
}, Closed]],
Cell[CellGroupData[{
Cell[563924, 15001, 94, 0, 70, "Subsection", "ExpressionUUID" -> \
"8f52fa04-7191-4cc6-887d-a91e77bd5785"],
Cell[CellGroupData[{
Cell[564043, 15005, 465, 13, 70, "Input", "ExpressionUUID" -> \
"796ae553-e58c-48b1-b602-2169cef75d9e"],
Cell[CellGroupData[{
Cell[564533, 15022, 473, 14, 70, "Print", "ExpressionUUID" -> \
"fe58983d-3e4b-4718-adfd-17fa3b4c5bd4"],
Cell[565009, 15038, 526, 16, 70, "Print", "ExpressionUUID" -> \
"a0ac1c45-39a3-4178-bc93-cb9af5732e50"],
Cell[565538, 15056, 417, 12, 70, "Print", "ExpressionUUID" -> \
"713133ee-372c-4b2f-8772-2e3366bd8c38"],
Cell[565958, 15070, 219, 5, 70, "Print", "ExpressionUUID" -> \
"c07706b1-bb83-47cc-8815-e8f3cec3b0e0"],
Cell[566180, 15077, 539, 14, 70, "Print", "ExpressionUUID" -> \
"05da980a-1cc0-4671-9a7d-ef9c812276d2"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[566768, 15097, 432, 12, 70, "Input", "ExpressionUUID" -> \
"8717ba4f-0df1-4137-95c7-1dc1cad640f7"],
Cell[567203, 15111, 291, 9, 70, "Output", "ExpressionUUID" -> \
"b24bd2bc-3f43-41c8-8b3f-8f5e955401bb"]
}, Open  ]],
Cell[CellGroupData[{
Cell[567531, 15125, 252, 7, 70, "Input", "ExpressionUUID" -> \
"2b84914c-9c15-46dc-8bda-1269f064ea0e"],
Cell[567786, 15134, 687, 23, 70, "Output", "ExpressionUUID" -> \
"dcca0e33-b4f7-48f6-955b-36ea68c42285"]
}, Open  ]]
}, Closed]],
Cell[CellGroupData[{
Cell[568522, 15163, 94, 0, 70, "Subsection", "ExpressionUUID" -> \
"3cb4e1cf-8e2b-465c-8e9e-88af092e8e50"],
Cell[CellGroupData[{
Cell[568641, 15167, 559, 17, 70, "Input", "ExpressionUUID" -> \
"fe77b1be-526a-4728-b5c5-01cc1ab3547f"],
Cell[CellGroupData[{
Cell[569225, 15188, 711, 22, 70, "Print", "ExpressionUUID" -> \
"8fd65f9b-f87e-4fbe-8f18-661e434b744a"],
Cell[569939, 15212, 609, 18, 70, "Print", "ExpressionUUID" -> \
"b033a53c-dbb2-4eab-81e1-32c2d88e4436"],
Cell[570551, 15232, 568, 16, 70, "Print", "ExpressionUUID" -> \
"be708c0b-2eff-4e6c-a020-9f35023ef4e1"],
Cell[571122, 15250, 219, 5, 70, "Print", "ExpressionUUID" -> \
"92657cfc-cf05-406e-89aa-0e47423ccb85"],
Cell[571344, 15257, 679, 19, 70, "Print", "ExpressionUUID" -> \
"351fec1e-eae5-4657-bf39-8223c3270f7f"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[572072, 15282, 746, 22, 70, "Input", "ExpressionUUID" -> \
"30ea8297-9baa-4117-b3cf-d82df6e618a0"],
Cell[572821, 15306, 412, 14, 70, "Output", "ExpressionUUID" -> \
"1dc3ab20-00e7-4199-a358-9b120ba4689a"]
}, Open  ]]
}, Closed]],
Cell[CellGroupData[{
Cell[573282, 15326, 90, 0, 70, "Subsection", "ExpressionUUID" -> \
"8569e45f-3576-4d72-822a-002d28a7e50d"],
Cell[CellGroupData[{
Cell[573397, 15330, 97, 0, 70, "Subsubsection", "ExpressionUUID" -> \
"41df5e07-26a9-4160-9bf2-742b95264ee3"],
Cell[CellGroupData[{
Cell[573519, 15334, 447, 13, 70, "Input", "ExpressionUUID" -> \
"6a937308-1fd7-4d90-84f7-ba60533a2e5a"],
Cell[573969, 15349, 364, 12, 70, "Output", "ExpressionUUID" -> \
"c916cd4f-a55a-4959-9aa0-fa45c0067d25"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[574382, 15367, 97, 0, 70, "Subsubsection", "ExpressionUUID" -> \
"e36c1deb-2efd-470c-a633-959069780ccf"],
Cell[CellGroupData[{
Cell[574504, 15371, 835, 25, 70, "Input", "ExpressionUUID" -> \
"6a4bb619-a373-4ce0-b5d2-aea170c420a9"],
Cell[575342, 15398, 533, 18, 70, "Output", "ExpressionUUID" -> \
"2dcac729-d2b0-46fc-98cf-a5914bd8897a"]
}, Open  ]]
}, Open  ]]
}, Closed]],
Cell[CellGroupData[{
Cell[575936, 15423, 114, 0, 70, "Subsection", "ExpressionUUID" -> \
"db0904d5-56ed-42b0-ad33-3114ced89d35"],
Cell[CellGroupData[{
Cell[576075, 15427, 97, 0, 70, "Subsubsection", "ExpressionUUID" -> \
"5afde49f-2be1-43ae-b363-0f597277e7fa"],
Cell[CellGroupData[{
Cell[576197, 15431, 489, 14, 70, "Input", "ExpressionUUID" -> \
"1c8c676d-bbd9-4b8f-9d9b-629c0f02382d"],
Cell[576689, 15447, 744, 26, 70, "Output", "ExpressionUUID" -> \
"aa33d886-c873-4779-a8c3-470857175d43"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[577482, 15479, 97, 0, 70, "Subsubsection", "ExpressionUUID" -> \
"b1f446b1-f0b6-428d-bbca-3c12e8a12543"],
Cell[CellGroupData[{
Cell[577604, 15483, 841, 25, 70, "Input", "ExpressionUUID" -> \
"2469a78e-6236-4f0e-93a8-ec3cb6ff8dc7"],
Cell[578448, 15510, 1000, 34, 70, "Output", "ExpressionUUID" -> \
"d507ead8-bf9c-434f-a7a8-3609c5d5a3ed"]
}, Open  ]]
}, Open  ]]
}, Closed]],
Cell[CellGroupData[{
Cell[579509, 15551, 230, 4, 70, "Subsection", "ExpressionUUID" -> \
"12de414f-958f-41e8-991d-60c8fd039f87"],
Cell[579742, 15557, 442, 12, 70, "Input", "ExpressionUUID" -> \
"5800edb8-4f00-44d1-bd92-e1955e53d6f3"]
}, Open  ]],
Cell[CellGroupData[{
Cell[580221, 15574, 160, 3, 70, "Subsection", "ExpressionUUID" -> \
"f86b95c1-d39f-423e-a808-53fbf619d115"],
Cell[CellGroupData[{
Cell[580406, 15581, 591, 17, 70, "Input", "ExpressionUUID" -> \
"a607bfae-9ebc-40ff-8d84-3289ad4fd20d"],
Cell[581000, 15600, 343, 10, 70, "Output", "ExpressionUUID" -> \
"2bbb2477-5b15-46b3-81a8-37c66da5e0a9"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[581392, 15616, 161, 3, 70, "Subsection", "ExpressionUUID" -> \
"38f6f2d3-d6ce-4939-8831-663e564df52c"],
Cell[CellGroupData[{
Cell[581578, 15623, 726, 20, 70, "Input", "ExpressionUUID" -> \
"fe3ca4ee-d7b9-49be-9922-81ff6bee0a57"],
Cell[582307, 15645, 823, 27, 70, "Output", "ExpressionUUID" -> \
"659985ea-4e60-477c-9c47-9a997b3e8e6d"]
}, Open  ]]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[583191, 15679, 225, 4, 70, "Section", "ExpressionUUID" -> \
"20ef4e42-9738-402f-8157-1e0b7eaabd6f"],
Cell[583419, 15685, 633, 18, 70, "Input", "ExpressionUUID" -> \
"b8791194-5e8d-43e3-a4dd-74ef34157c20"],
Cell[CellGroupData[{
Cell[584077, 15707, 160, 3, 70, "Subsection", "ExpressionUUID" -> \
"a7ac3557-4b86-4d4e-b1b5-9c9ab1ad8eb0"],
Cell[CellGroupData[{
Cell[584262, 15714, 721, 19, 70, "Input", "ExpressionUUID" -> \
"4de54aba-89db-41ad-bb41-4fb2e4c077ab"],
Cell[584986, 15735, 544, 16, 70, "Output", "ExpressionUUID" -> \
"9ab133fb-8efe-4eed-b723-ea21e90185b4"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[585579, 15757, 161, 3, 70, "Subsection", "ExpressionUUID" -> \
"da49ff24-d4d4-4ba5-ae10-526506a043b7"],
Cell[CellGroupData[{
Cell[585765, 15764, 857, 23, 70, "Input", "ExpressionUUID" -> \
"31faa6ef-7d59-43e0-8b07-7338b96a367d"],
Cell[586625, 15789, 802, 26, 70, "Output", "ExpressionUUID" -> \
"e41e97da-bd67-4f82-a79b-0f49ea0889c2"]
}, Open  ]]
}, Open  ]]
}, Open  ]]
}, Open  ]]
}
]
*)

(* End of internal cache information *)