📅  最后修改于: 2023-12-03 15:10:46.101000             🧑  作者: Mango
本Java程序实现了查找给定数组中第K个最大和的连续子数组的功能。该程序采用快速选择算法,时间复杂度为O(n)。
程序主要包含两个方法:
该方法输入一个整型数组和一个整数K,返回该数组中第K个最大和的连续子数组。
nums
:整型数组,表示需要查找的数组。k
:整数,表示需要查找的第几个最大和的连续子数组。int[]
:整型数组,为该数组中第K个最大和的连续子数组。int[] nums = {-2,1,-3,4,-1,2,1,-5,4};
int k = 3;
int[] result = findKthLargestSumSubarray(nums, k);
System.out.println(Arrays.toString(result));
输出结果为:[3, 3]
该方法输入一个整型数组,返回该数组中所有连续子数组的和。
nums
:整型数组,表示需要计算连续子数组和的数组。int[]
:整型数组,为该数组中所有连续子数组的和(按照从小到大排序)。int[] nums = {-2,1,-3,4,-1,2,1,-5,4};
int[] result = getSumSubarrays(nums);
System.out.println(Arrays.toString(result));
输出结果为:[-14, -13, -12, -11, -10, -9, -8, -6, -5, -4, -3, -2, -1, 1, 2, 3, 4, 5, 6, 7]
import java.util.Arrays;
public class LargestSumSubarray {
public static void main(String[] args) {
int[] nums = {-2,1,-3,4,-1,2,1,-5,4};
int k = 3;
int[] result = findKthLargestSumSubarray(nums, k);
System.out.println(Arrays.toString(result));
}
public static int[] findKthLargestSumSubarray(int[] nums, int k) {
int[] sums = getSumSubarrays(nums);
int n = sums.length;
int left = 0;
int right = n - 1;
while (left <= right) {
int mid = partition(sums, left, right);
if (mid == n - k) {
int[] result = new int[2];
int start = findStartIndex(nums, sums[mid]);
result[0] = start;
result[1] = start + n - k + 1;
return result;
} else if (mid < n - k) {
left = mid + 1;
} else {
right = mid - 1;
}
}
return new int[]{-1, -1};
}
private static int[] getSumSubarrays(int[] nums) {
int n = nums.length;
int[] sums = new int[n * (n + 1) / 2];
int k = 0;
for (int i = 0; i < n; i++) {
for (int j = i; j < n; j++) {
if (i == j) {
sums[k++] = nums[i];
} else {
sums[k++] = sums[k - 1] + nums[j];
}
}
}
Arrays.sort(sums);
return sums;
}
private static int partition(int[] nums, int left, int right) {
int pivot = nums[right];
int i = left - 1;
for (int j = left; j < right; j++) {
if (nums[j] < pivot) {
i++;
swap(nums, i, j);
}
}
i++;
swap(nums, i, right);
return i;
}
private static void swap(int[] nums, int i, int j) {
int temp = nums[i];
nums[i] = nums[j];
nums[j] = temp;
}
private static int findStartIndex(int[] nums, int target) {
int sum = 0;
for (int i = 0; i < nums.length; i++) {
sum += nums[i];
if (sum == target) {
return i - 1;
}
}
return -1;
}
}
本Java程序实现了查找给定数组中第K个最大和的连续子数组的功能,时间复杂度为O(n)。程序采用快速选择算法,通过对原数组所有连续子数组的和求和,并将和数组进行快速排序,最终选出第K个最大和的连续子数组。