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62 lines
1.5 KiB
JavaScript
62 lines
1.5 KiB
JavaScript
/*
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* Exponential Search
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*
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* The algorithm consists of two stages. The first stage determines a
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* range in which the search key would reside if it were in the list.
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* In the second stage, a binary search is performed on this range.
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*
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*
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*
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*/
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function binarySearch(arr, x, floor, ceiling) {
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// Middle index
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let mid = Math.floor((floor + ceiling) / 2);
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// If value is at the mid position return this position
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if (arr[mid] === x) {
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return mid;
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}
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if(floor > ceiling) return -1;
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// If the middle element is great than the value
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// search the left part of the array
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if (arr[mid] > value) {
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return binarySearch(arr, value, floor, mid - 1);
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//If the middle element is lower than the value
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//search the right part of the array
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} else {
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return binarySearch(arr, value, mid + 1, ceiling);
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}
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}
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function exponentialSearch(arr, length, value) {
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// If value is the first element of the array return this position
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if (arr[0] == value) {
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return 0;
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}
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// Find range for binary search
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let i = 1;
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while (i < length && arr[i] <= value) {
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i = i * 2;
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}
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// Call binary search for the range found above
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return binarySearch(arr, value, i / 2, Math.min(i, length));
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}
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let arr = [2, 3, 4, 10, 40, 65 , 78 , 100];
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let value = 78;
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let result = exponentialSearch(arr, arr.length, value);
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if (result < 0) {
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console.log("Element not found");
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} else {
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console.log("Element found at position :" + result);
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}
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