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	56b20eff36
	
	
	
		
			
			* .net 8.0 migration * update docs * revert change * revert change and update appendix docs * remove static * Update binary_search_insertion.cs * Update binary_search_insertion.cs * Update binary_search_edge.cs * Update binary_search_insertion.cs * Update binary_search_edge.cs --------- Co-authored-by: Yudong Jin <krahets@163.com>
		
			
				
	
	
		
			38 lines
		
	
	
		
			1.1 KiB
		
	
	
	
		
			C#
		
	
	
	
	
	
			
		
		
	
	
			38 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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| 
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| namespace hello_algo.chapter_heap;
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| 
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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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|     PriorityQueue<int, int> TopKHeap(int[] nums, int k) {
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|         // 初始化小顶堆
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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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| 
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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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