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ExponentialSearch.js
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/**
* Exponential Search
*
* The algorithm consists of two stages. The first stage determines a
* range in which the search key would reside if it were in the list.
* In the second stage, a binary search is performed on this range.
*
*
*
*/
/**
* Binary Search
*
* @param {number[]} arr - The array to search within.
* @param {number} value - The value to search for in the array.
* @param {number} floor - The lower bound index of the search range.
* @param {number} ceiling - The upper bound index of the search range.
* @returns {number} - The index of the found element if present, otherwise -1.
*/
function binarySearch(arr, value, floor, ceiling) {
// Middle index
const mid = Math.floor((floor + ceiling) / 2)
// If value is at the mid position return this position
if (arr[mid] === value) {
return mid
}
if (floor > ceiling) return -1
// If the middle element is great than the value
// search the left part of the array
if (arr[mid] > value) {
return binarySearch(arr, value, floor, mid - 1)
// If the middle element is lower than the value
// search the right part of the array
} else {
return binarySearch(arr, value, mid + 1, ceiling)
}
}
/**
* Exponential Search
* @param {number[]} arr - The array to search within.
* @param {number} length - The length of the array.
* @param {number} value - The value to search for in the array.
* @returns {number} - The index of the found element if present, otherwise -1.
*/
function exponentialSearch(arr, length, value) {
// If value is the first element of the array return this position
if (arr[0] === value) {
return 0
}
// Find range for binary search
let i = 1
while (i < length && arr[i] <= value) {
i = i * 2
}
// Call binary search for the range found above
return binarySearch(arr, value, i / 2, Math.min(i, length))
}
export { binarySearch, exponentialSearch }
// const arr = [2, 3, 4, 10, 40, 65, 78, 100]
// const value = 78
// const result = exponentialSearch(arr, arr.length, value)