hello-algo/codes/javascript/chapter_heap/top_k.js
Yudong Jin 7822bf9cd4
feat: add top_k.c and refactor top_k.js (#889)
* Add top_k.c based on my_heap.c

* Improve the implementation of top_k.js

* Add a comment to top_k
2023-10-26 02:54:19 +08:00

58 lines
1.4 KiB
JavaScript

/**
* File: top_k.js
* Created Time: 2023-08-13
* Author: Justin (xiefahit@gmail.com)
*/
const { MaxHeap } = require('./my_heap');
/* 元素入堆 */
function pushMinHeap(maxHeap, val) {
// 元素取反
maxHeap.push(-val);
}
/* 元素出堆 */
function popMinHeap(maxHeap) {
// 元素取反
return -maxHeap.pop();
}
/* 访问堆顶元素 */
function peekMinHeap(maxHeap) {
// 元素取反
return -maxHeap.peek();
}
/* 取出堆中元素 */
function getMinHeap(maxHeap) {
// 元素取反
return maxHeap.getMaxHeap().map((num) => -num);
}
/* 基于堆查找数组中最大的 k 个元素 */
function topKHeap(nums, k) {
// 初始化小顶堆
// 请注意:我们将堆中所有元素取反,从而用大顶堆来模拟小顶堆
const maxHeap = new MaxHeap([]);
// 将数组的前 k 个元素入堆
for (let i = 0; i < k; i++) {
pushMinHeap(maxHeap, nums[i]);
}
// 从第 k+1 个元素开始,保持堆的长度为 k
for (let i = k; i < nums.length; i++) {
// 若当前元素大于堆顶元素,则将堆顶元素出堆、当前元素入堆
if (nums[i] > peekMinHeap(maxHeap)) {
popMinHeap(maxHeap);
pushMinHeap(maxHeap, nums[i]);
}
}
// 返回堆中元素
return getMinHeap(maxHeap);
}
/* Driver Code */
const nums = [1, 7, 6, 3, 2];
const k = 3;
const res = topKHeap(nums, k);
console.log(`最大的 ${k} 个元素为`, res);