给定的大小为N []阵列ARR和整数K(N%K = 0),任务是分裂阵列分成大小为K的子阵列使得每个子阵列的第2个最小元素之和为最小的可能。
例子:
Input: arr[] = {11, 20, 5, 7, 8, 14, 2, 17, 16, 10}, K = 5
Output: 13
Explanation: Splitting array into subsets {11, 5, 14, 2, 10} and {20, 7, 8, 17, 16} generates minimum sum of second smallest elements( = 5 + 8 = 13).
Input: arr[] = {13, 19, 20, 5, 17, 11, 10, 8, 23, 14}, K = 5
Output: 19
Explanation: Splitting array into subsets {10, 19, 20, 11, 23} and {17, 5, 8, 13, 14} generates minimum sum of second smallest elements(= 11 + 8 = 19).
方法:该问题可以通过排序技术来解决。请按照以下步骤解决此问题:
- 按升序对给定数组进行排序。
- 由于所有子集的长度为K组,因此选择从1开始的前K 个奇数索引元素并计算它们的总和。
- 打印获得的总和。
下面是上述方法的实现:
C++
// C++ implementation for above approach
#include
using namespace std;
// Function to find the minimum sum of
// 2nd smallest elements of each subset
int findMinimum(int arr[], int N, int K)
{
// Sort the array
sort(arr, arr + N);
// Stores minimum sum of second
// elements of each subset
int ans = 0;
// Traverse first K 2nd smallest elements
for (int i = 1; i < 2 * (N / K); i += 2) {
// Update their sum
ans += arr[i];
}
// Print the sum
cout << ans;
}
// Driver Code
int main()
{
// Given Array
int arr[] = { 11, 20, 5, 7, 8,
14, 2, 17, 16, 10 };
// Given size of the array
int N = sizeof(arr)
/ sizeof(arr[0]);
// Given subset lengths
int K = 5;
findMinimum(arr, N, K);
return 0;
}
Java
// Java implementation for the above approach
import java.io.*;
import java.util.*;
class GFG {
// Function to find the minimum sum of
// 2nd smallest elements of each subset
public static void findMinimum(
int arr[], int N, int K)
{
// Sort the array
Arrays.sort(arr);
// Stores minimum sum of second
// elements of each subset
int ans = 0;
// Traverse first K 2nd smallest elements
for (int i = 1; i < 2 * (N / K); i += 2) {
// Update their sum
ans += arr[i];
}
// Print the sum
System.out.println(ans);
}
// Driver Code
public static void main(String[] args)
{
// Given Array
int[] arr = { 11, 20, 5, 7, 8,
14, 2, 17, 16, 10 };
// Given length of array
int N = arr.length;
// Given subset lengths
int K = 5;
findMinimum(arr, N, K);
}
}
Python3
# Python3 implementation for above approach
# Function to find the minimum sum of
# 2nd smallest elements of each subset
def findMinimum(arr, N, K):
# Sort the array
arr = sorted(arr)
# Stores minimum sum of second
# elements of each subset
ans = 0
# Traverse first K 2nd smallest elements
for i in range(1, 2 * (N//K), 2):
# Update their sum
ans += arr[i]
# Prthe sum
print (ans)
# Driver Code
if __name__ == '__main__':
# Given Array
arr = [11, 20, 5, 7, 8, 14, 2, 17, 16, 10]
# Given size of the array
N = len(arr)
# Given subset lengths
K = 5
findMinimum(arr, N, K)
# This code is contributed by mohit kumar 29
C#
// C# implementation for above approach
using System;
class GFG{
// Function to find the minimum sum of
// 2nd smallest elements of each subset
public static void findMinimum(int[] arr, int N,
int K)
{
// Sort the array
Array.Sort(arr);
// Stores minimum sum of second
// elements of each subset
int ans = 0;
// Traverse first K 2nd smallest elements
for(int i = 1; i < 2 * (N / K); i += 2)
{
// Update their sum
ans += arr[i];
}
// Print the sum
Console.WriteLine(ans);
}
// Driver Code
public static void Main()
{
// Given Array
int[] arr = { 11, 20, 5, 7, 8,
14, 2, 17, 16, 10 };
// Given length of array
int N = arr.Length;
// Given subset lengths
int K = 5;
findMinimum(arr, N, K);
}
}
// This code is contributed by susmitakundugoaldanga
Javascript
输出:
13
时间复杂度: O(NlogN)
空间复杂度: O(N)
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