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* Modify method name to PascalCase(array and linked list) * Modify method name to PascalCase(backtracking) * Modify method name to PascalCase(computational complexity) * Modify method name to PascalCase(divide and conquer) * Modify method name to PascalCase(dynamic programming) * Modify method name to PascalCase(graph) * Modify method name to PascalCase(greedy) * Modify method name to PascalCase(hashing) * Modify method name to PascalCase(heap) * Modify method name to PascalCase(searching) * Modify method name to PascalCase(sorting) * Modify method name to PascalCase(stack and queue) * Modify method name to PascalCase(tree) * local check
36 lines
1.1 KiB
C#
36 lines
1.1 KiB
C#
/**
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* File: top_k.cs
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* Created Time: 2023-06-14
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* Author: hpstory (hpstory1024@163.com)
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*/
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namespace hello_algo.chapter_heap;
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public class top_k {
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/* 基于堆查找数组中最大的 k 个元素 */
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public static PriorityQueue<int, int> TopKHeap(int[] nums, int k) {
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PriorityQueue<int, int> heap = new();
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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.Enqueue(nums[i], 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.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] > heap.Peek()) {
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heap.Dequeue();
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heap.Enqueue(nums[i], nums[i]);
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}
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}
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return heap;
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}
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[Test]
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public void Test() {
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int[] nums = { 1, 7, 6, 3, 2 };
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int k = 3;
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PriorityQueue<int, int> res = TopKHeap(nums, k);
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Console.WriteLine("最大的 " + k + " 个元素为");
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PrintUtil.PrintHeap(res);
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}
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}
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