mirror of
				https://github.com/krahets/hello-algo.git
				synced 2025-11-01 03:24:24 +08:00 
			
		
		
		
	 954c45864b
			
		
	
	954c45864b
	
	
	
		
			
			* docs: add Japanese documents (`ja/docs`) * docs: add Japanese documents (`ja/codes`) * docs: add Japanese documents * Remove pythontutor blocks in ja/ * Add an empty at the end of each markdown file. * Add the missing figures (use the English version temporarily). * Add index.md for Japanese version. * Add index.html for Japanese version. * Add missing index.assets * Fix backtracking_algorithm.md for Japanese version. * Add avatar_eltociear.jpg. Fix image links on the Japanese landing page. * Add the Japanese banner. --------- Co-authored-by: krahets <krahets@163.com>
		
			
				
	
	
		
			40 lines
		
	
	
		
			1.2 KiB
		
	
	
	
		
			Java
		
	
	
	
	
	
			
		
		
	
	
			40 lines
		
	
	
		
			1.2 KiB
		
	
	
	
		
			Java
		
	
	
	
	
	
| /**
 | |
|  * File: top_k.java
 | |
|  * Created Time: 2023-06-12
 | |
|  * Author: krahets (krahets@163.com)
 | |
|  */
 | |
| 
 | |
| package chapter_heap;
 | |
| 
 | |
| import utils.*;
 | |
| import java.util.*;
 | |
| 
 | |
| public class top_k {
 | |
|     /* ヒープを使用して配列内の最大 k 個の要素を検索 */
 | |
|     static Queue<Integer> topKHeap(int[] nums, int k) {
 | |
|         // 最小ヒープを初期化
 | |
|         Queue<Integer> heap = new PriorityQueue<Integer>();
 | |
|         // 配列の最初の k 個の要素をヒープに入力
 | |
|         for (int i = 0; i < k; i++) {
 | |
|             heap.offer(nums[i]);
 | |
|         }
 | |
|         // k+1 番目の要素から、ヒープの長さを k に保つ
 | |
|         for (int i = k; i < nums.length; i++) {
 | |
|             // 現在の要素がヒープの先頭要素より大きい場合、ヒープの先頭要素を削除し、現在の要素をヒープに入力
 | |
|             if (nums[i] > heap.peek()) {
 | |
|                 heap.poll();
 | |
|                 heap.offer(nums[i]);
 | |
|             }
 | |
|         }
 | |
|         return heap;
 | |
|     }
 | |
| 
 | |
|     public static void main(String[] args) {
 | |
|         int[] nums = { 1, 7, 6, 3, 2 };
 | |
|         int k = 3;
 | |
| 
 | |
|         Queue<Integer> res = topKHeap(nums, k);
 | |
|         System.out.println("最大 " + k + " 個の要素は");
 | |
|         PrintUtil.printHeap(res);
 | |
|     }
 | |
| } |