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36 lines
1.1 KiB
JavaScript
36 lines
1.1 KiB
JavaScript
/* The Jump Search algorithm allows to combine a linear search with a speed optimization.
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* This means that instead of going 1 by 1, we will increase the step of √n and increase that
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* step of √n which make the step getting bigger and bigger.
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* The asymptotic analysis of Jump Search is o(√n). Like the binary search, it needs to be sorted.
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* The advantage against binary search is that Jump Search traversed back only once.
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*/
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const jumpSearch = (arr, value) => {
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const length = arr.length;
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let step = Math.floor(Math.sqrt(length));
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let lowerBound = 0;
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while (arr[Math.min(step, length) - 1] < value) {
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lowerBound = step;
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step += step;
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if (lowerBound >= length) {
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return -1;
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}
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}
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const upperBound = Math.min(step, length);
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while (arr[lowerBound] < value) {
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lowerBound++;
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if (lowerBound === upperBound) {
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return -1;
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}
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}
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if (arr[lowerBound] === value) {
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return lowerBound;
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}
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return -1;
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}
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const arr = [0,0,4,7,10,23,34,40,55,68,77,90]
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jumpSearch(arr,4);
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jumpSearch(arr,34);
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jumpSearch(arr,77);
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