Update note

kgryte · kgryte · commit b4fbca07cc34 · 2020-03-18T23:26:09.000-07:00
diff --git a/lib/node_modules/@stdlib/blas/gdot/README.md b/lib/node_modules/@stdlib/blas/gdot/README.md
@@ -83,7 +83,7 @@ var z = gdot( [], [] );
 ## Notes
 
 -   `gdot()` corresponds to the [BLAS][blas] level 1 function [`ddot`][ddot] with the exception that this implementation works with any array type, not just Float64Arrays.
--   For best performance, provide 1-dimensional [`ndarrays`][@stdlib/ndarray/array] whose underlying data type is either `float64` or `float32`.
+-   In general, for best performance, especially for large vectors, provide 1-dimensional [`ndarrays`][@stdlib/ndarray/array] whose underlying data type is either `float64` or `float32`.
 
 </section>
 
diff --git a/lib/node_modules/@stdlib/blas/gdot/docs/repl.txt b/lib/node_modules/@stdlib/blas/gdot/docs/repl.txt
@@ -2,8 +2,9 @@
 {{alias}}( x, y )
     Computes the dot product of two vectors.
 
-    For best performance, provide 1-dimensional ndarrays whose underlying data
-    type is either 'float64' or 'float32'.
+    In general, for best performance, especially for large vectors, provide
+    1-dimensional ndarrays whose underlying data type is either 'float64' or
+    'float32'.
 
     If provided empty vectors, the function returns `0.0`.
 
diff --git a/lib/node_modules/@stdlib/blas/gdot/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/gdot/docs/types/index.d.ts
@@ -28,7 +28,7 @@ import { ndarray } from '@stdlib/types/ndarray';
 *
 * ## Notes
 *
-* -   For best performance, provide 1-dimensional `ndarrays` whose underlying data type is either `float64` or `float32`.
+* -   In general, for best performance, especially for large vectors, provide 1-dimensional `ndarrays` whose underlying data type is either `float64` or `float32`.
 *
 * @param x - first input array
 * @param y - second input array
diff --git a/lib/node_modules/@stdlib/blas/gdot/lib/main.js b/lib/node_modules/@stdlib/blas/gdot/lib/main.js
@@ -36,7 +36,7 @@ var dot = require( '@stdlib/blas/base/gdot' ).ndarray;
 *
 * ## Notes
 *
-* -   For best performance, provide 1-dimensional `ndarrays` whose underlying data type is either `float64` or `float32`.
+* -   In general, for best performance, especially for large vectors, provide 1-dimensional `ndarrays` whose underlying data type is either `float64` or `float32`.
 *
 * @param {(ArrayLike|VectorLike)} x - first input array
 * @param {(ArrayLike|VectorLike)} y - second input array

Original file line number	Diff line number	Diff line change
`@@ -28,7 +28,7 @@ import { ndarray } from '@stdlib/types/ndarray';`
`28`	`28`	`*`
`29`	`29`	`* ## Notes`
`30`	`30`	`*`
`31`		-* - For best performance, provide 1-dimensional `ndarrays` whose underlying data type is either `float64` or `float32`.
	`31`	+* - In general, for best performance, especially for large vectors, provide 1-dimensional `ndarrays` whose underlying data type is either `float64` or `float32`.
`32`	`32`	`*`
`33`	`33`	`* @param x - first input array`
`34`	`34`	`* @param y - second input array`
Original file line number	Diff line number	Diff line change
`@@ -36,7 +36,7 @@ var dot = require( '@stdlib/blas/base/gdot' ).ndarray;`
`36`	`36`	`*`
`37`	`37`	`* ## Notes`
`38`	`38`	`*`
`39`		-* - For best performance, provide 1-dimensional `ndarrays` whose underlying data type is either `float64` or `float32`.
	`39`	+* - In general, for best performance, especially for large vectors, provide 1-dimensional `ndarrays` whose underlying data type is either `float64` or `float32`.
`40`	`40`	`*`
`41`	`41`	`* @param {(ArrayLike\|VectorLike)} x - first input array`
`42`	`42`	`* @param {(ArrayLike\|VectorLike)} y - second input array`