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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
38 lines
1 KiB
C++
38 lines
1 KiB
C++
/**
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* File: top_k.cpp
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* Created Time: 2023-06-12
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* Author: Krahets (krahets@163.com)
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*/
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#include "../utils/common.hpp"
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/* 基于堆查找数组中最大的 k 个元素 */
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priority_queue<int, vector<int>, greater<int>> topKHeap(vector<int> &nums, int k) {
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// 初始化小顶堆
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priority_queue<int, vector<int>, greater<int>> heap;
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// 将数组的前 k 个元素入堆
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for (int i = 0; i < k; i++) {
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heap.push(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 (int i = k; i < nums.size(); 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] > heap.top()) {
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heap.pop();
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heap.push(nums[i]);
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}
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}
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return heap;
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}
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// Driver Code
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int main() {
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vector<int> nums = {1, 7, 6, 3, 2};
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int k = 3;
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priority_queue<int, vector<int>, greater<int>> res = topKHeap(nums, k);
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cout << "最大的 " << k << " 个元素为: ";
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printHeap(res);
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return 0;
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}
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