Given a matrix of N * M. Find the maximum path sum in matrix. The maximum path is sum of all elements from first row to last row where you are allowed to move only down or diagonally to left or right. You can start from any element in first row.
Examples:
Input : mat[][] = 10 10 2 0 20 4 1 0 0 30 2 5 0 10 4 0 2 0 1 0 2 20 0 4 Output : 74 The maximum sum path is 20-30-4-20. Input : mat[][] = 1 2 3 9 8 7 4 5 6 Output : 17 The maximum sum path is 3-8-6.
We are given a matrix of N * M. To find max path sum first we have to find max value in first row of matrix. Store this value in res. Now for every element in matrix update element with max value which can be included in max path. If the value is greater then res then update res. In last return res which consists of max path sum value.
Implementation:
// CPP program for finding max path in matrix #include <bits/stdc++.h> #define N 4 #define M 6 using namespace std;
// To calculate max path in matrix int findMaxPath( int mat[][M])
{ for ( int i = 1; i < N; i++) {
for ( int j = 0; j < M; j++) {
// When all paths are possible
if (j > 0 && j < M - 1)
mat[i][j] += max(mat[i - 1][j],
max(mat[i - 1][j - 1],
mat[i - 1][j + 1]));
// When diagonal right is not possible
else if (j > 0)
mat[i][j] += max(mat[i - 1][j],
mat[i - 1][j - 1]);
// When diagonal left is not possible
else if (j < M - 1)
mat[i][j] += max(mat[i - 1][j],
mat[i - 1][j + 1]);
// Store max path sum
}
}
int res = 0;
for ( int j = 0; j < M; j++)
res = max(mat[N-1][j], res);
return res;
} // Driver program to check findMaxPath int main()
{ int mat1[N][M] = { { 10, 10, 2, 0, 20, 4 },
{ 1, 0, 0, 30, 2, 5 },
{ 0, 10, 4, 0, 2, 0 },
{ 1, 0, 2, 20, 0, 4 } };
cout << findMaxPath(mat1) << endl;
return 0;
} |
// Java program for finding max path in matrix import static java.lang.Math.max;
class GFG
{ public static int N = 4 , M = 6 ;
// Function to calculate max path in matrix
static int findMaxPath( int mat[][])
{
// To find max val in first row
int res = - 1 ;
for ( int i = 0 ; i < M; i++)
res = max(res, mat[ 0 ][i]);
for ( int i = 1 ; i < N; i++)
{
res = - 1 ;
for ( int j = 0 ; j < M; j++)
{
// When all paths are possible
if (j > 0 && j < M - 1 )
mat[i][j] += max(mat[i - 1 ][j],
max(mat[i - 1 ][j - 1 ],
mat[i - 1 ][j + 1 ]));
// When diagonal right is not possible
else if (j > 0 )
mat[i][j] += max(mat[i - 1 ][j],
mat[i - 1 ][j - 1 ]);
// When diagonal left is not possible
else if (j < M - 1 )
mat[i][j] += max(mat[i - 1 ][j],
mat[i - 1 ][j + 1 ]);
// Store max path sum
res = max(mat[i][j], res);
}
}
return res;
}
// driver program
public static void main (String[] args)
{
int mat[][] = { { 10 , 10 , 2 , 0 , 20 , 4 },
{ 1 , 0 , 0 , 30 , 2 , 5 },
{ 0 , 10 , 4 , 0 , 2 , 0 },
{ 1 , 0 , 2 , 20 , 0 , 4 }
};
System.out.println(findMaxPath(mat));
}
} // Contributed by Pramod Kumar |
# Python 3 program for finding max path in matrix # To calculate max path in matrix def findMaxPath(mat):
for i in range ( 1 , N):
res = - 1
for j in range (M):
# When all paths are possible
if (j > 0 and j < M - 1 ):
mat[i][j] + = max (mat[i - 1 ][j],
max (mat[i - 1 ][j - 1 ],
mat[i - 1 ][j + 1 ]))
# When diagonal right is not possible
else if (j > 0 ):
mat[i][j] + = max (mat[i - 1 ][j],
mat[i - 1 ][j - 1 ])
# When diagonal left is not possible
else if (j < M - 1 ):
mat[i][j] + = max (mat[i - 1 ][j],
mat[i - 1 ][j + 1 ])
# Store max path sum
res = max (mat[i][j], res)
return res
# Driver program to check findMaxPath N = 4
M = 6
mat = ([[ 10 , 10 , 2 , 0 , 20 , 4 ],
[ 1 , 0 , 0 , 30 , 2 , 5 ],
[ 0 , 10 , 4 , 0 , 2 , 0 ],
[ 1 , 0 , 2 , 20 , 0 , 4 ]])
print (findMaxPath(mat))
# This code is contributed by Azkia Anam. |
// C# program for finding // max path in matrix using System;
class GFG
{ static int N = 4, M = 6;
// find the max element
static int max( int a, int b)
{
if (a > b)
return a;
else
return b;
}
// Function to calculate
// max path in matrix
static int findMaxPath( int [,]mat)
{
// To find max val
// in first row
int res = -1;
for ( int i = 0; i < M; i++)
res = max(res, mat[0, i]);
for ( int i = 1; i < N; i++)
{
res = -1;
for ( int j = 0; j < M; j++)
{
// When all paths are possible
if (j > 0 && j < M - 1)
mat[i, j] += max(mat[i - 1, j],
max(mat[i - 1, j - 1],
mat[i - 1, j + 1]));
// When diagonal right
// is not possible
else if (j > 0)
mat[i, j] += max(mat[i - 1, j],
mat[i - 1, j - 1]);
// When diagonal left
// is not possible
else if (j < M - 1)
mat[i, j] += max(mat[i - 1, j],
mat[i - 1, j + 1]);
// Store max path sum
res = max(mat[i, j], res);
}
}
return res;
}
// Driver code
static public void Main (String[] args)
{
int [,] mat = {{10, 10, 2, 0, 20, 4},
{1, 0, 0, 30, 2, 5},
{0, 10, 4, 0, 2, 0},
{1, 0, 2, 20, 0, 4}};
Console.WriteLine(findMaxPath(mat));
}
} // This code is contributed // by Arnab Kundu |
<?php // PHP program for finding max // path in matrix $N = 4;
$M = 6;
// To calculate max path in matrix function findMaxPath( $mat )
{ global $N ;
global $M ;
for ( $i = 1; $i < $N ; $i ++)
{
for ( $j = 0; $j < $M ; $j ++)
{
// When all paths are possible
if ( $j > 0 && $j < ( $M - 1))
$mat [ $i ][ $j ] += max( $mat [ $i - 1][ $j ],
max( $mat [ $i - 1][ $j - 1],
$mat [ $i - 1][ $j + 1]));
// When diagonal right is
// not possible
else if ( $j > 0)
$mat [ $i ][ $j ] += max( $mat [ $i - 1][ $j ],
$mat [ $i - 1][ $j - 1]);
// When diagonal left is
// not possible
else if ( $j < ( $M - 1))
$mat [ $i ][ $j ] += max( $mat [ $i - 1][ $j ],
$mat [ $i - 1][ $j + 1]);
// Store max path sum
}
}
$res = 0;
for ( $j = 0; $j < $M ; $j ++)
$res = max( $mat [ $N - 1][ $j ], $res );
return $res ;
} // Driver Code $mat1 = array ( array ( 10, 10, 2, 0, 20, 4 ),
array ( 1, 0, 0, 30, 2, 5 ),
array ( 0, 10, 4, 0, 2, 0 ),
array ( 1, 0, 2, 20, 0, 4 ));
echo findMaxPath( $mat1 ), "\n" ;
// This code is contributed by Sach_Code ?> |
<script> // Javascript program for finding max path in matrix let N = 4, M = 6; // Function to calculate max path in matrix function findMaxPath(mat)
{ // To find max val in first row
let res = -1;
for (let i = 0; i < M; i++)
res = Math.max(res, mat[0][i]);
for (let i = 1; i < N; i++)
{
res = -1;
for (let j = 0; j < M; j++)
{
// When all paths are possible
if (j > 0 && j < M - 1)
mat[i][j] += Math.max(mat[i - 1][j],
Math.max(mat[i - 1][j - 1],
mat[i - 1][j + 1]));
// When diagonal right is not possible
else if (j > 0)
mat[i][j] += Math.max(mat[i - 1][j],
mat[i - 1][j - 1]);
// When diagonal left is not possible
else if (j < M - 1)
mat[i][j] += Math.max(mat[i - 1][j],
mat[i - 1][j + 1]);
// Store max path sum
res = Math.max(mat[i][j], res);
}
}
return res;
} // Driver Code let mat = [ [ 10, 10, 2, 0, 20, 4 ], [ 1, 0, 0, 30, 2, 5 ],
[ 0, 10, 4, 0, 2, 0 ],
[ 1, 0, 2, 20, 0, 4 ] ];
document.write(findMaxPath(mat)); // This code is contributed by sravan kumar </script> |
74
Time Complexity: O(N*M), where N and M are the dimensions of the matrix
Space Complexity: O(1), since no extra space has been taken.