Given a matrix, mat[][] of dimensions N * M, the task is to print the maximum bitwise XOR value that can be obtained for a path from the top-left cell (0, 0) to the bottom-right cell (N – 1, M – 1) of the given matrix. Only possible moves from any cell (i, j) are (i + 1, j) and (i, j + 1).
Note: Bitwise XOR value of a path is defined as the bitwise XOR of all possible elements on that path.
Examples:
Input: mat[][] = {{3, 2, 1}, {6, 5, 4}, {7, 8, 9}}
Output: 13
Explanation:
Possible paths from (0, 0) to (N – 1, M – 1) and their bitwise XOR values are:
(0, 0) -> (0, 1) -> (0, 2) -> (1, 2) -> (2, 2) having XOR value 13.
(0, 0) -> (0, 1) -> (1, 1) -> (1, 2) -> (2, 2) having XOR value 9.
(0, 0) -> (1, 0) -> (1, 1) -> (1, 2) -> (2, 2) having XOR value 13.
(0, 0) -> (0, 1) -> (1, 1) -> (2, 1) -> (2, 2) having XOR value 5.
(0, 0) -> (1, 0) -> (1, 1) -> (2, 1) -> (2, 2) having XOR value 1.
(0, 0) -> (1, 0) -> (2, 0) -> (2, 1) -> (2, 2) having XOR value 3
Therefore, the maximum bitwise XOR value for all possible paths is 13.
Input: mat[][] = {{1, 2, 3}, {4, 5, 6}, {7, 8, 9}}
Output: 15
Approach: The idea is to generate all possible paths from the top-left cell (0, 0) to the bottom-right cell (N – 1, M – 1) of the given matrix using Recursion and print the maximum XOR value of all possible paths. The following are the recurrence relations and their base cases:
Recurrence relation:
printMaxXOR(i, j, xorValue) = max(printMaxXOR(i – 1, j, xorValue ^ mat[i][j]), printMaxXOR(i, j – 1, xorValue ^ mat[i][j]))Base Case:
if i = 0 and j = 0: return mat[i][j] ^ xorValue
if i = 0: return printMaxXOR(i, j – 1, mat[i][j] ^ xorValue)
if j = 0: return printMaxXOR(i – 1, j, mat[i][j] ^ xorValue)
Follow the steps below to solve the problem:
- Initialize a variable, say xorValue to store the bitwise XOR of all possible elements on the path from the top-left cell (0, 0) to the bottom-right cell (N – 1, M – 1).
- Use the above recurrence relation to find the maximum XOR value of all possible paths from the top-left cell (0, 0) to the bottom-right cell (N – 1, M – 1).
- Finally, print the maximum XOR value of all possible paths from the top-left cell (0, 0) to the bottom-right cell (N – 1, M – 1).
Below is the implementation of the above approach:
C++
// C++ program to implement // the above approach #include <bits/stdc++.h> using namespace std; // Function to print maximum XOR // value of all possible path // from (0, 0) to (N - 1, M - 1) int printMaxXOR(vector<vector< int > >& mat, int i, int j, int xorValue) { // Base case if (i == 0 && j == 0) { return mat[i][j] ^ xorValue; } // Base case if (i == 0) { // Stores maximum XOR value // by selecting path from (i, j) // to (i, j - 1) return printMaxXOR(mat, i, j - 1, mat[i][j] ^ xorValue); } if (j == 0) { // Stores maximum XOR value // by selecting path from (i, j) // to (i - 1, j) return printMaxXOR(mat, i - 1, j, mat[i][j] ^ xorValue); } // Stores maximum XOR value // by selecting path from (i, j) // to (i - 1, j) int X = printMaxXOR(mat, i - 1, j, mat[i][j] ^ xorValue); // Stores maximum XOR value // by selecting path from (i, j) // to (i, j - 1) int Y = printMaxXOR(mat, i, j - 1, mat[i][j] ^ xorValue); return max(X, Y); } // Driver Code int main() { vector<vector< int > > mat = { { 3, 2, 1 }, { 6, 5, 4 }, { 7, 8, 9 } }; int N = mat.size(); int M = mat[0].size(); // Stores bitwise XOR of // all elements on each possible path int xorValue = 0; cout << printMaxXOR(mat, N - 1, M - 1, xorValue); } |
Java
import java.io.*; import java.util.*; class GFG { public static int printMaxXOR( int [][] mat, int i, int j, int xorValue) { // Base case if (i == 0 && j == 0 ) { return mat[i][j] ^ xorValue; } // Base case if (i == 0 ) { // Stores maximum XOR value // by selecting path from (i, j) // to (i, j - 1) return printMaxXOR(mat, i, j - 1 , mat[i][j] ^ xorValue); } if (j == 0 ) { // Stores maximum XOR value // by selecting path from (i, j) // to (i - 1, j) return printMaxXOR(mat, i - 1 , j, mat[i][j] ^ xorValue); } // Stores maximum XOR value // by selecting path from (i, j) // to (i - 1, j) int X = printMaxXOR(mat, i - 1 , j, mat[i][j] ^ xorValue); // Stores maximum XOR value // by selecting path from (i, j) // to (i, j - 1) int Y = printMaxXOR(mat, i, j - 1 , mat[i][j] ^ xorValue); return Math.max(X, Y); } // Driver Code public static void main(String[] args) { int [][] mat = { { 3 , 2 , 1 }, { 6 , 5 , 4 }, { 7 , 8 , 9 } }; int N = mat.length; int M = mat[ 0 ].length; // Stores bitwise XOR of // all elements on each possible path int xorValue = 0 ; System.out.println( printMaxXOR(mat, N - 1 , M - 1 , xorValue)); } // This code is contributed by hemanth gadarla } |
Python3
# Python 3 program to implement # the above approach # Function to print maximum XOR # value of all possible path # from (0, 0) to (N - 1, M - 1) def printMaxXOR(mat, i, j, xorValue): # Base case if (i = = 0 and j = = 0 ): return mat[i][j] ^ xorValue # Base case if (i = = 0 ): # Stores maximum XOR value # by selecting path from (i, j) # to (i, j - 1) return printMaxXOR(mat, i, j - 1 , mat[i][j] ^ xorValue) if (j = = 0 ): # Stores maximum XOR value # by selecting path from (i, j) # to (i - 1, j) return printMaxXOR(mat, i - 1 , j, mat[i][j] ^ xorValue) # Stores maximum XOR value # by selecting path from (i, j) # to (i - 1, j) X = printMaxXOR(mat, i - 1 , j, mat[i][j] ^ xorValue) # Stores maximum XOR value # by selecting path from (i, j) # to (i, j - 1) Y = printMaxXOR(mat, i, j - 1 , mat[i][j] ^ xorValue) return max (X, Y) # Driver Code if __name__ = = "__main__" : mat = [[ 3 , 2 , 1 ], [ 6 , 5 , 4 ], [ 7 , 8 , 9 ]] N = len (mat) M = len (mat[ 0 ]) # Stores bitwise XOR of # all elements on each # possible path xorValue = 0 print (printMaxXOR(mat, N - 1 , M - 1 , xorValue)) # This code is contributed by Chitranayal |
C#
// C# program to implement the // above approach using System; class GFG{ public static int printMaxXOR( int [,] mat, int i, int j, int xorValue) { // Base case if (i == 0 && j == 0) { return mat[i,j] ^ xorValue; } // Base case if (i == 0) { // Stores maximum XOR value // by selecting path from (i, j) // to (i, j - 1) return printMaxXOR(mat, i, j - 1, mat[i,j] ^ xorValue); } if (j == 0) { // Stores maximum XOR value // by selecting path from (i, j) // to (i - 1, j) return printMaxXOR(mat, i - 1, j, mat[i,j] ^ xorValue); } // Stores maximum XOR value // by selecting path from (i, j) // to (i - 1, j) int X = printMaxXOR(mat, i - 1, j, mat[i,j] ^ xorValue); // Stores maximum XOR value // by selecting path from (i, j) // to (i, j - 1) int Y = printMaxXOR(mat, i, j - 1, mat[i,j] ^ xorValue); return Math.Max(X, Y); } // Driver Code public static void Main(String[] args) { int [,] mat = {{3, 2, 1}, {6, 5, 4}, {7, 8, 9}}; int N = mat.GetLength(0); int M = mat.GetLength(1); // Stores bitwise XOR of // all elements on each // possible path int xorValue = 0; Console.WriteLine(printMaxXOR(mat, N - 1, M - 1, xorValue)); } } // This code is contributed by gauravrajput1 |
Javascript
<script> // Javascript program to implement // the above approach function printMaxXOR(mat, i, j, xorValue) { // Base case if (i == 0 && j == 0) { return mat[i][j] ^ xorValue; } // Base case if (i == 0) { // Stores maximum XOR value // by selecting path from (i, j) // to (i, j - 1) return printMaxXOR(mat, i, j - 1, mat[i][j] ^ xorValue); } if (j == 0) { // Stores maximum XOR value // by selecting path from (i, j) // to (i - 1, j) return printMaxXOR(mat, i - 1, j, mat[i][j] ^ xorValue); } // Stores maximum XOR value // by selecting path from (i, j) // to (i - 1, j) let X = printMaxXOR(mat, i - 1, j, mat[i][j] ^ xorValue); // Stores maximum XOR value // by selecting path from (i, j) // to (i, j - 1) let Y = printMaxXOR(mat, i, j - 1, mat[i][j] ^ xorValue); return Math.max(X, Y); } // Driver Code let mat = [[ 3, 2, 1 ], [ 6, 5, 4 ], [ 7, 8, 9 ]]; let N = mat.length; let M = mat[0].length; // Stores bitwise XOR of // all elements on each possible path let xorValue = 0; document.write( printMaxXOR(mat, N - 1, M - 1, xorValue)); </script> |
13
Time Complexity: O(2N)
Auxiliary Space: O(1)
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