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