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Given n arrays of size m each. Find the maximum sum obtained by selecting a number from each array such that the elements selected from the i-th array are more than the element selected from (i-1)-th array. If maximum sum cannot be obtained then return 0.

Examples:

Input : arr[][] = {{1, 7, 3, 4},
                   {4, 2, 5, 1},
                   {9, 5, 1, 8}}
Output : 18
Explanation :
We can select 4 from first array, 5 from 
second array and 9 from third array.

Input : arr[][] = {{9, 8, 7},
                   {6, 5, 4},
                   {3, 2, 1}}
Output : 0

Recommended: Please try your approach on {IDE} first, before moving on to the solution.

The idea is to start picking from last array. We pick the maximum element from last array, then we move to second last array. In second last array, we find the largest element which is smaller than the maximum element picked from last array. We repeat this process till we reach first array.

To obtain maximum sum we can sort all arrays and start bottom to up traversing each array from right to left and choose a number such that it is greater than the previous element. If we are not able to select an element from array then return 0.

C++

// CPP program to find maximum sum 
// by selecting a element from n arrays 
#include <bits/stdc++.h> 
#define M 4 
using namespace std; 
  
// To calculate maximum sum by 
// selecting element from each array 
int maximumSum(int a[][M], int n) { 
  
  // Sort each array 
  for (int i = 0; i < n; i++) 
    sort(a[i], a[i] + M); 
  
  // Store maximum element 
  // of last array 
  int sum = a[n - 1][M - 1]; 
  int prev = a[n - 1][M - 1]; 
  int i, j; 
  
  // Selecting maximum element from 
  // previoulsy selected element 
  for (i = n - 2; i >= 0; i--) { 
    for (j = M - 1; j >= 0; j--) { 
      if (a[i][j] < prev) { 
        prev = a[i][j]; 
        sum += prev; 
        break; 
      } 
    } 
  
    // j = -1 means no element is 
    // found in a[i] so return 0 
    if (j == -1) 
      return 0; 
  } 
  
  return sum; 
} 
  
// Driver program to test maximumSum 
int main() { 
  int arr[][M] = {{1, 7, 3, 4},  
                  {4, 2, 5, 1},  
                  {9, 5, 1, 8}}; 
  int n = sizeof(arr) / sizeof(arr[0]); 
  cout << maximumSum(arr, n); 
  return 0; 
} 

Java

// Java program to find  
// maximum sum by selecting  
// a element from n arrays 
import java.io.*; 
  
class GFG 
{ 
    static int M = 4; 
    static int arr[][] = {{1, 7, 3, 4},  
                          {4, 2, 5, 1},  
                          {9, 5, 1, 8}}; 
  
    static void sort(int a[][], 
                     int row, int n) 
    { 
        for (int i = 0; i < M - 1; i++)  
        { 
            if(a[row][i] > a[row][i + 1]) 
            { 
                int temp = a[row][i]; 
                a[row][i] = a[row][i + 1]; 
                a[row][i + 1] = temp; 
            } 
        } 
    } 
      
    // To calculate maximum  
    // sum by selecting element  
    // from each array 
    static int maximumSum(int a[][],  
                          int n)  
    { 
      
    // Sort each array 
    for (int i = 0; i < n; i++) 
        sort(a, i, n); 
      
    // Store maximum element 
    // of last array 
    int sum = a[n - 1][M - 1]; 
    int prev = a[n - 1][M - 1]; 
    int i, j; 
      
    // Selecting maximum element 
    // from previoulsy selected  
    // element 
    for (i = n - 2; i >= 0; i--) 
    { 
        for (j = M - 1; j >= 0; j--)  
        { 
            if (a[i][j] < prev)  
            { 
                prev = a[i][j]; 
                sum += prev; 
                break; 
            } 
        } 
      
        // j = -1 means no element  
        // is found in a[i] so  
        // return 0 
        if (j == -1) 
        return 0; 
    }      
    return sum; 
    } 
      
    // Driver Code 
    public static void main(String args[])  
    { 
        int n = arr.length; 
        System.out.print(maximumSum(arr, n)); 
    } 
} 
  
// This code is contributed by  
// Manish Shaw(manishshaw1) 

Python3

# Python3 program to find  
# maximum sum by selecting  
# a element from n arrays 
M = 4; 
  
# To calculate maximum sum  
# by selecting element from  
# each array 
def maximumSum(a, n) : 
  
    global M; 
      
    # Sort each array 
    for i in range(0, n) : 
        a[i].sort(); 
      
    # Store maximum element 
    # of last array 
    sum = a[n - 1][M - 1]; 
    prev = a[n - 1][M - 1]; 
  
    # Selecting maximum  
    # element from previoulsy 
    # selected element 
    for i in range(n - 2,  
                  -1, -1) : 
      
        for j in range(M - 1,  
                      -1, -1) : 
          
            if (a[i][j] < prev) :  
              
                prev = a[i][j]; 
                sum += prev; 
                break; 
  
        # j = -1 means no element 
        # is found in a[i] so  
        # return 0 
        if (j == -1) : 
            return 0; 
    return sum; 
  
# Driver Code 
arr = [[1, 7, 3, 4],  
       [4, 2, 5, 1],  
       [9, 5, 1, 8]]; 
n = len(arr) ; 
print (maximumSum(arr, n)); 
  
# This code is contributed by  
# Manish Shaw(manishshaw1) 

C#

// C# program to find maximum  
// sum by selecting a element 
// from n arrays 
using System; 
  
class GFG 
{ 
    static int M = 4; 
      
    static void sort(ref int[,] a, 
                     int row, int n) 
    { 
        for (int i = 0; i < M-1; i++)  
        { 
            if(a[row, i] > a[row, i + 1]) 
            { 
                int temp = a[row, i]; 
                a[row, i] = a[row, i + 1]; 
                a[row, i + 1] = temp; 
            } 
        } 
    } 
      
    // To calculate maximum  
    // sum by selecting  
    // element from each array 
    static int maximumSum(int[,] a,  
                          int n)  
    { 
      
    int i = 0, j = 0; 
      
    // Sort each array 
    for (i = 0; i < n; i++) 
        sort(ref a, i, n); 
      
    // Store maximum element 
    // of last array 
    int sum = a[n - 1, M - 1]; 
    int prev = a[n - 1, M - 1]; 
      
      
    // Selecting maximum element  
    // from previoulsy selected  
    // element 
    for (i = n - 2; i >= 0; i--) 
    { 
        for (j = M - 1; j >= 0; j--) 
        { 
        if (a[i, j] < prev)  
        { 
            prev = a[i, j]; 
            sum += prev; 
            break; 
        } 
        } 
      
        // j = -1 means no element 
        // is found in a[i] so 
        // return 0 
        if (j == -1) 
        return 0; 
    } 
      
    return sum; 
    } 
      
    // Driver Code 
    static void Main() 
    { 
    int [,]arr = new int[,]{{1, 7, 3, 4},  
                            {4, 2, 5, 1},  
                            {9, 5, 1, 8}}; 
    int n = arr.GetLength(0); 
    Console.Write(maximumSum(arr, n)); 
    } 
} 
  
// This code is contributed by 
// Manish Shaw (manishshaw1) 

PHP

<?php 
// PHP program to find maximum  
// sum by selecting a element  
// from n arrays 
$M = 4; 
  
// To calculate maximum sum  
// by selecting element from  
// each array 
function maximumSum($a, $n)  
{ 
    global $M; 
      
    // Sort each array 
    for ($i = 0; $i < $n; $i++) 
        sort($a[$i]); 
      
    // Store maximum element 
    // of last array 
    $sum = $a[$n - 1][$M - 1]; 
    $prev = $a[$n - 1][$M - 1]; 
    $i; $j; 
  
    // Selecting maximum element from 
    // previoulsy selected element 
    for ($i = $n - 2; $i >= 0; $i--)  
    { 
        for ($j = $M - 1; $j >= 0; $j--)  
        { 
        if ($a[$i][$j] < $prev)  
        { 
            $prev = $a[$i][$j]; 
            $sum += $prev; 
            break; 
        } 
        } 
      
        // j = -1 means no element is 
        // found in a[i] so return 0 
        if ($j == -1) 
        return 0; 
    } 
      
    return $sum; 
} 
  
// Driver Code 
$arr = array(array(1, 7, 3, 4),  
             array(4, 2, 5, 1),  
             array(9, 5, 1, 8)); 
$n = sizeof($arr) ; 
echo maximumSum($arr, $n); 
  
// This code is contributed by m_kit 
?> 

Output:

Worst Case Time Complexity : O(mn Log m)

We can optimize the above solution to work in O(mn). We can skip sorting to find the maximum elements.

C++

// CPP program to find maximum sum 
// by selecting a element from n arrays 
#include <bits/stdc++.h> 
#define M 4 
using namespace std; 
  
// To calculate maximum sum by 
// selecting element from each array 
int maximumSum(int a[][M], int n) { 
  
  // Store maximum element of last array 
  int prev = *max_element(&a;[n-1][0], 
                   &a;[n-1][M-1] + 1); 
  
  // Selecting maximum element from 
  // previoulsy selected element 
  int sum = prev; 
  for (int i = n - 2; i >= 0; i--) { 
  
    int max_smaller = INT_MIN; 
    for (int j = M - 1; j >= 0; j--) { 
      if (a[i][j] < prev && 
          a[i][j] > max_smaller) 
        max_smaller = a[i][j]; 
    } 
  
    // max_smaller equals to INT_MIN means 
    // no element is found in a[i] so 
    // return 0 
    if (max_smaller == INT_MIN) 
      return 0; 
  
    prev = max_smaller; 
    sum += max_smaller; 
  } 
  
  return sum; 
} 
  
// Driver program to test maximumSum 
int main() { 
  int arr[][M] = {{1, 7, 3, 4}, 
                  {4, 2, 5, 1}, 
                  {9, 5, 1, 8}}; 
  int n = sizeof(arr) / sizeof(arr[0]); 
  cout << maximumSum(arr, n); 
  return 0; 
} 

Python3

# Python3 program to find maximum sum 
# by selecting a element from n arrays 
M = 4
  
# To calculate maximum sum by 
# selecting element from each array 
def maximumSum(a, n): 
  
    # Store maximum element of last array 
    prev = max(max(a)) 
  
    # Selecting maximum element from 
    # previoulsy selected element 
    Sum = prev 
    for i in range(n - 2, -1, -1): 
  
        max_smaller = -10**9
        for j in range(M - 1, -1, -1): 
            if (a[i][j] < prev and 
                a[i][j] > max_smaller): 
                max_smaller = a[i][j] 
  
    # max_smaller equals to INT_MIN means 
    # no element is found in a[i] so 
    # return 0 
        if (max_smaller == -10**9): 
            return 0
  
        prev = max_smaller 
        Sum += max_smaller 
  
    return Sum
  
# Driver Code 
arr = [[1, 7, 3, 4], 
       [4, 2, 5, 1], 
       [9, 5, 1, 8]] 
n = len(arr) 
print(maximumSum(arr, n)) 
  
# This code is contributed by mohit kumar 

Output:

Time Complexity: O(mn)

My Personal Notes

Oct	NOV	Dec
	17
2018	2019	2020

Maximum sum of increasing order elements from n arrays

Recommended: Please try your approach on {IDE} first, before moving on to the solution.

C++

Java

Python3

C#

PHP

C++

Python3

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