Files
JavaScript/Search/InterpolationSearch.js

47 lines
1.1 KiB
JavaScript

/**
* Interpolation Search
*
* Time Complexity:
* -Best case: O(1)
* -Worst case: O(n)
* -O((log(log(n))) If the data are uniformly distributed
*
*
*/
export function interpolationSearch (arr, key) {
const length = arr.length - 1
let low = 0
let high = length
let position = -1
let delta = -1
// Because the array is sorted the key must be between low and high
while (low <= high && key >= arr[low] && key <= arr[high]) {
delta = (key - arr[low]) / (arr[high] - arr[low])
position = low + Math.floor((high - low) * delta)
// Target found return its position
if (arr[position] === key) {
return position
}
// If the key is larger then it is in the upper part of the array
if (arr[position] < key) {
low = position + 1
// If the key is smaller then it is in the lower part of the array
} else {
high = position - 1
}
}
return -1
}
// const arr = [2, 6, 8, 10, 12, 14, 16, 18, 20, 22, 26, 34, 39]
// interpolationSearch(arr, 2)
// interpolationSearch(arr, 12)
// interpolationSearch(arr, 1000)
// interpolationSearch(arr, 39)