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hello-algo/en/codes/java/chapter_heap/top_k.java
Yudong Jin 14c314c08c Retranslate the complete English edition from Simplified Chinese (#2010)
* Retranslate the complete English edition from Simplified Chinese

* Polish three English explanations after reader-focused review
2026-10-31 03:35:51 +08:00

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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 {
/* Use a heap to find the k largest elements in an array */
static Queue<Integer> topKHeap(int[] nums, int k) {
// Initialize a min heap
Queue<Integer> heap = new PriorityQueue<Integer>();
// Push the first k array elements onto the heap
for (int i = 0; i < k; i++) {
heap.offer(nums[i]);
}
// Starting with element k+1, keep the heap size at k
for (int i = k; i < nums.length; i++) {
// If the current element is larger than the heap top, pop the top element and push the current element
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("The largest " + k + " elements are:");
PrintUtil.printHeap(res);
}
}