update at 2020-10-20 18:15:10 by ehlxr
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package me.ehlxr.leetcode;
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import java.util.Arrays;
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import java.util.Comparator;
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import java.util.PriorityQueue;
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/**
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* @author ehlxr
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* @since 2020-10-20 17:54.
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*/
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public class Solution5 {
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public int findKthLargest(int[] nums, int k) {
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PriorityQueue<Integer> queue = new PriorityQueue<>();
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for (int val : nums) {
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queue.add(val);
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if (queue.size() > k) {
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queue.poll();
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}
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}
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return queue.peek();
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}
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public static void main(String[] args) {
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int[] arr = {4, 6, 8, 5, 9};
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// PriorityQueue<Integer> queue = new PriorityQueue<>();
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// for (int val : arr) {
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// queue.add(val);
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// }
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// System.out.println(Arrays.toString(queue.toArray()));
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//
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//
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// arr = new int[]{4, 6, 8, 5, 9};
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PriorityQueue<Integer> maxHeap = new PriorityQueue<>(arr.length, (o1, o2) -> o2 - o1);
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for (int val : arr) {
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maxHeap.add(val);
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}
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System.out.println(Arrays.toString(maxHeap.toArray()));
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}
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}
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@ -1,6 +1,7 @@
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package me.ehlxr.sort;
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import java.util.Arrays;
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import java.util.PriorityQueue;
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/**
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* 堆排序
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@ -32,6 +33,20 @@ public class HeapSort {
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int[] arr = {4, 6, 8, 5, 9};
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sort(arr);
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System.out.println("results: " + Arrays.toString(arr));
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// PriorityQueue<Integer> queue = new PriorityQueue<>();
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// for (int val : arr) {
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// queue.add(val);
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// }
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// System.out.println(Arrays.toString(queue.toArray()));
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//
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//
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arr = new int[]{4, 6, 8, 5, 9};
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PriorityQueue<Integer> maxHeap = new PriorityQueue<>(arr.length, (o1, o2) -> o2 - o1);
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for (int val : arr) {
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maxHeap.add(val);
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}
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System.out.println(Arrays.toString(maxHeap.toArray()));
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}
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public static void sort(int[] arr) {
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