给定n个正元素数组,鉴于子数组的大小应大于等于2,我们需要在子数组中找到max和min元素的最小和。
例子:
Input : arr[] = {1 12 2 2}
Output : 4
Sum of 2+2 of subarray [2, 2]
Input : arr[] = {10 20 30 40 23 45}
Output : 30
Sum of 10+20 of subarray[10, 20]
一个简单的解决方案是生成所有子数组,计算最大和最小和,最后返回最小和。
一种有效的解决方案基于以下事实:将任何元素添加到子数组都不会增加最大值和最小值之和。考虑数组[a1,a2,a3,a4,a5….an]每个ai将是某个子数组[al,ar]的最小值,这样我位于[l,r]之间并且子数组中的所有元素都大于或等于ai。这样的子阵列的成本将是ai + max(子阵列)。由于数组的最大值在将元素添加到数组中时永远不会减少,因此只有在添加更大的元素时才会增加,因此始终最好只考虑那些长度为2的子数组。
简而言之,考虑所有长度为2的子数组并比较和并取最小的子数组,这将使时间复杂度降低O(N),现在我们只需要运行一次循环。
C++
// CPP program to find sum of maximum and
// minimum in any subarray of an array of
// positive numbers.
#include
using namespace std;
int maxSum(int arr[], int n)
{
if (n < 2)
return -1;
int ans = arr[0] + arr[1];
for (int i = 1; i + 1 < n; i++)
ans = min(ans, (arr[i] + arr[i + 1]));
return ans;
}
// Driver code
int main()
{
int arr[] = {1, 12, 2, 2};
int n = sizeof(arr) / sizeof(arr[0]);
cout << maxSum(arr, n);
return 0;
}
Java
// java program to find sum of maximum and
// minimum in any subarray of an array of
// positive numbers.
import java.io.*;
class GFG {
static int maxSum(int arr[], int n)
{
if (n < 2)
return -1;
int ans = arr[0] + arr[1];
for (int i = 1; i + 1 < n; i++)
ans = Math.min(ans, (arr[i]
+ arr[i + 1]));
return ans;
}
// Driver code
public static void main (String[] args)
{
int arr[] = {1, 12, 2, 2};
int n = arr.length;
System.out.println( maxSum(arr, n));
}
}
// This code is contributed by anuj_67.
Python 3
# Python 3 program to find sum of maximum
# and minimum in any subarray of an array
# of positive numbers.
def maxSum(arr, n):
if (n < 2):
return -1
ans = arr[0] + arr[1]
for i in range(1, n - 1, 1):
ans = min(ans, (arr[i] + arr[i + 1]))
return ans
# Driver code
if __name__ == '__main__':
arr = [1, 12, 2, 2]
n = len(arr)
print(maxSum(arr, n))
# This code is contributed by
# Surendra_Gangwar
C#
// C# program to find sum of maximum and
// minimum in any subarray of an array of
// positive numbers.
using System ;
class GFG {
static int maxSum(int []arr, int n)
{
if (n < 2)
return -1;
int ans = arr[0] + arr[1];
for (int i = 1; i + 1 < n; i++)
ans = Math.Min(ans, (arr[i]
+ arr[i + 1]));
return ans;
}
// Driver code
public static void Main ()
{
int []arr = {1, 12, 2, 2};
int n = arr.Length;
Console.WriteLine( maxSum(arr, n));
}
}
// This code is contributed by anuj_67.
PHP
输出:
4
时间复杂度:O(n)
辅助空间:O(1)