|
1 | | -/* |
| 1 | +/** |
2 | 2 | * Exponential Search |
3 | 3 | * |
4 | | - * The algorithm consists of two stages. The first stage determines a |
5 | | - * range in which the search key would reside if it were in the list. |
| 4 | + * The algorithm consists of two stages. The first stage determines a |
| 5 | + * range in which the search key would reside if it were in the list. |
6 | 6 | * In the second stage, a binary search is performed on this range. |
7 | | - * |
8 | 7 | * |
9 | | - * |
| 8 | + * |
| 9 | + * |
10 | 10 | */ |
11 | 11 |
|
12 | | -function binarySearch(arr, x, floor, ceiling) { |
13 | | - // Middle index |
14 | | - let mid = Math.floor((floor + ceiling) / 2); |
15 | | - |
16 | | - // If value is at the mid position return this position |
17 | | - if (arr[mid] === x) { |
18 | | - return mid; |
19 | | - } |
20 | | - |
21 | | - if(floor > ceiling) return -1; |
22 | | - |
23 | | - // If the middle element is great than the value |
24 | | - // search the left part of the array |
25 | | - if (arr[mid] > value) { |
26 | | - return binarySearch(arr, value, floor, mid - 1); |
27 | | - //If the middle element is lower than the value |
28 | | - //search the right part of the array |
29 | | - } else { |
30 | | - return binarySearch(arr, value, mid + 1, ceiling); |
31 | | - } |
32 | | - |
33 | | - |
| 12 | +function binarySearch (arr, x, floor, ceiling) { |
| 13 | + // Middle index |
| 14 | + const mid = Math.floor((floor + ceiling) / 2) |
| 15 | + |
| 16 | + // If value is at the mid position return this position |
| 17 | + if (arr[mid] === x) { |
| 18 | + return mid |
| 19 | + } |
| 20 | + |
| 21 | + if (floor > ceiling) return -1 |
| 22 | + |
| 23 | + // If the middle element is great than the value |
| 24 | + // search the left part of the array |
| 25 | + if (arr[mid] > value) { |
| 26 | + return binarySearch(arr, value, floor, mid - 1) |
| 27 | + // If the middle element is lower than the value |
| 28 | + // search the right part of the array |
| 29 | + } else { |
| 30 | + return binarySearch(arr, value, mid + 1, ceiling) |
| 31 | + } |
34 | 32 | } |
35 | 33 |
|
| 34 | +function exponentialSearch (arr, length, value) { |
| 35 | + // If value is the first element of the array return this position |
| 36 | + if (arr[0] === value) { |
| 37 | + return 0 |
| 38 | + } |
36 | 39 |
|
37 | | -function exponentialSearch(arr, length, value) { |
38 | | - // If value is the first element of the array return this position |
39 | | - if (arr[0] == value) { |
40 | | - return 0; |
41 | | - } |
42 | | - |
43 | | - // Find range for binary search |
44 | | - let i = 1; |
45 | | - while (i < length && arr[i] <= value) { |
46 | | - i = i * 2; |
47 | | - } |
| 40 | + // Find range for binary search |
| 41 | + let i = 1 |
| 42 | + while (i < length && arr[i] <= value) { |
| 43 | + i = i * 2 |
| 44 | + } |
48 | 45 |
|
49 | | - // Call binary search for the range found above |
50 | | - return binarySearch(arr, value, i / 2, Math.min(i, length)); |
| 46 | + // Call binary search for the range found above |
| 47 | + return binarySearch(arr, value, i / 2, Math.min(i, length)) |
51 | 48 | } |
52 | 49 |
|
53 | | -let arr = [2, 3, 4, 10, 40, 65 , 78 , 100]; |
54 | | -let value = 78; |
55 | | -let result = exponentialSearch(arr, arr.length, value); |
| 50 | +const arr = [2, 3, 4, 10, 40, 65, 78, 100] |
| 51 | +const value = 78 |
| 52 | +const result = exponentialSearch(arr, arr.length, value) |
56 | 53 |
|
57 | 54 | if (result < 0) { |
58 | | - console.log("Element not found"); |
| 55 | + console.log('Element not found') |
59 | 56 | } else { |
60 | | - console.log("Element found at position :" + result); |
| 57 | + console.log('Element found at position :' + result) |
61 | 58 | } |
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