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7822bf9cd4
* Add top_k.c based on my_heap.c * Improve the implementation of top_k.js * Add a comment to top_k
58 lines
1.4 KiB
JavaScript
58 lines
1.4 KiB
JavaScript
/**
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* File: top_k.js
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* Created Time: 2023-08-13
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* Author: Justin (xiefahit@gmail.com)
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*/
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const { MaxHeap } = require('./my_heap');
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/* 元素入堆 */
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function pushMinHeap(maxHeap, val) {
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// 元素取反
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maxHeap.push(-val);
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}
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/* 元素出堆 */
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function popMinHeap(maxHeap) {
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// 元素取反
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return -maxHeap.pop();
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}
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/* 访问堆顶元素 */
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function peekMinHeap(maxHeap) {
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// 元素取反
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return -maxHeap.peek();
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}
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/* 取出堆中元素 */
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function getMinHeap(maxHeap) {
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// 元素取反
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return maxHeap.getMaxHeap().map((num) => -num);
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}
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/* 基于堆查找数组中最大的 k 个元素 */
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function topKHeap(nums, k) {
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// 初始化小顶堆
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// 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
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const maxHeap = new MaxHeap([]);
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// 将数组的前 k 个元素入堆
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for (let i = 0; i < k; i++) {
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pushMinHeap(maxHeap, nums[i]);
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}
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// 从第 k+1 个元素开始,保持堆的长度为 k
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for (let i = k; i < nums.length; i++) {
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// 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
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if (nums[i] > peekMinHeap(maxHeap)) {
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popMinHeap(maxHeap);
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pushMinHeap(maxHeap, nums[i]);
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}
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}
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// 返回堆中元素
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return getMinHeap(maxHeap);
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}
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/* Driver Code */
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const nums = [1, 7, 6, 3, 2];
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const k = 3;
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const res = topKHeap(nums, k);
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console.log(`最大的 ${k} 个元素为`, res);
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