HASTY
JS
performance
Insertion sort VS. Heap sort
A performance test where we run Insertion sort against Heap sort.
Click the run button to get the performance of "insertion"- and "heap"-sorting algorithms.
Globals
const data = [ ...new Array(250).fill(0).map(Math.random) ]
Cases
0 ops/s
function insertionSort(arr) { const n = arr.length; for (let i = 1; i < n; i++) { const current = arr[i]; let j = i - 1; while (j > -1 && current < arr[j]) { arr[j + 1] = arr[j]; j--; } arr[j + 1] = current; } return arr; } insertionSort(data);
0 ops/s
function heapSort(arr) { const len = arr.length; let end = len - 1; heapify(arr, len); while (end > 0) { swap(arr, end--, 0); siftDown(arr, 0, end); } return arr; } function heapify(arr, len) { let mid = Math.floor((len - 2) / 2); while (mid >= 0) { siftDown(arr, mid--, len - 1); } } function siftDown(arr, start, end) { let root = start; let child = root * 2 + 1; let toSwap = root; while (child <= end) { if (arr[toSwap] < arr[child]) { swap(arr, toSwap, child); } if (child + 1 <= end && arr[toSwap] < arr[child + 1]) { swap(arr, toSwap, child + 1); } if (toSwap != root) { swap(arr, root, toSwap); root = toSwap; } else { return; } toSwap = root; child = root * 2 + 1; } } function swap(arr, i, j) { const temp = arr[i]; arr[i] = arr[j]; arr[j] = temp; } heapSort(data);
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