Heap sort VS. Merge sort
A performance test where we run Heap sort against Merge sort.
Click the run button to get the performance of "heap"- and "merge"-sorting algorithms.
Globals
const data = [ ...new Array(250).fill(0).map(Math.random) ]
Cases
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);
0 ops/s
function mergeSort(arr){ const len = arr.length; if(len < 2) return arr; const mid = Math.floor(len/2); const left = arr.slice(0,mid); const right = arr.slice(mid); return merge(mergeSort(left),mergeSort(right)); } function merge(left, right){ const result = []; const lLen = left.length; const rLen = right.length; let l = 0; let r = 0; while(l < lLen && r < rLen){ if(left[l] < right[r]){ result.push(left[l++]); } else{ result.push(right[r++]); } } return result.concat(left.slice(l)).concat(right.slice(r)); } mergeSort(data);
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