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_215.java
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package com.fishercoder.solutions;
import java.util.Arrays;
import java.util.Collections;
import java.util.PriorityQueue;
public class _215 {
public static class Solution1 {
public int findKthLargest(int[] nums, int k) {
Arrays.sort(nums);
return nums[nums.length - k];
}
}
public static class Solution2 {
public int findKthLargest(int[] nums, int k) {
PriorityQueue<Integer> maxHeap = new PriorityQueue<>(Collections.reverseOrder());
for (int i : nums) {
maxHeap.offer(i);
}
while (k-- > 1) {
maxHeap.poll();
}
return maxHeap.poll();
}
}
public static class Solution3 {
/**
* Quick Select algorithm
* Time: O(n) in average, O(n^2) in worst case
* Reference: https://discuss.leetcode.com/topic/14611/java-quick-select
*/
public int findKthLargest(int[] nums, int k) {
int start = 0;
int end = nums.length - 1;
int index = nums.length - k;
while (start < end) {
int pivot = partition(nums, start, end);
if (pivot < index) {
start = pivot + 1;
} else if (pivot > index) {
end = pivot - 1;
} else {
return nums[pivot];
}
}
return nums[start];
}
int partition(int[] nums, int start, int end) {
int pivot = start;
while (start <= end) {
while (start <= end && nums[start] <= nums[pivot]) {
start++;
}
while (start <= end && nums[end] > nums[pivot]) {
end--;
}
if (start > end) {
break;
}
swap(nums, start, end);
}
swap(nums, end, pivot);
return end;
}
void swap(int[] nums, int i, int j) {
int temp = nums[i];
nums[i] = nums[j];
nums[j] = temp;
}
}
}