Perkalian matriks
/*
* This C++ program can multiply any two square or rectangular matrices.
* The below program multiplies two square matrices of size 4 * 4.
* There is also an example of a rectangular matrix for the same code (commented below).
* We can change the Matrix value with the number of rows and columns (from MACROs) for Matrix-1
* and Matrix-2 for different dimensions.
*/
/*
* Note: i- The number of columns in Matrix-1 must be equal to the number of rows in Matrix-2.
* ii- Output of multiplication of Matrix-1 and Matrix-2, results with equal to the number
* of rows of Matrix-1 and the number of columns of Matrix-2 i.e. rslt[R1][C2].
*/
#include <iostream>
using namespace std;
// Edit MACROs here, according to your Matrix Dimensions for mat1[R1][C1] and mat2[R2][C2]
#define R1 4 // number of rows in Matrix-1
#define C1 4 // number of columns in Matrix-1
#define R2 4 // number of rows in Matrix-2
#define C2 4 // number of columns in Matrix-2
void mulMat(int mat1[][C1], int mat2[][C2]) {
int rslt[R1][C2];
cout << "Multiplication of given two matrices is:\n" << endl;
for (int i = 0; i < R1; i++) {
for (int j = 0; j < C2; j++) {
rslt[i][j] = 0;
for (int k = 0; k < R2; k++) {
rslt[i][j] += mat1[i][k] * mat2[k][j];
}
cout << rslt[i][j] << "\t";
}
cout << endl;
}
}
int main(void) {
// Square Matrices
// R1 = 4, C1 = 4 and R2 = 4, C2 = 4 (Update these values in MACROs)
int mat1[R1][C1] = {
{1, 1, 1, 1},
{2, 2, 2, 2},
{3, 3, 3, 3},
{4, 4, 4, 4}
};
int mat2[R2][C2] = {
{1, 1, 1, 1},
{2, 2, 2, 2},
{3, 3, 3, 3},
{4, 4, 4, 4}
};
/*
// Rectangular Matrices
// R1 = 3, C1 = 4 and R2 = 4, C2 = 3 (Update these values in MACROs)
int mat1[R1][C1] = {
{1, 1, 1, 1},
{2, 2, 2, 2},
{3, 3, 3, 3}
};
int mat2[R2][C2] = {
{1, 1, 1},
{2, 2, 2},
{3, 3, 3},
{4, 4, 4}
};
*/
if (C1 != R2) {
cout << "The number of columns in Matrix-1 must be equal to the number of rows in "
"Matrix-2" << endl;
cout << "Please update MACROs according to your array dimension in #define section"
<< endl;
exit(EXIT_FAILURE);
}
mulMat(mat1, mat2);
return 0;
}
// This code is contributed by Manish Kumar (mkumar2789)
Thoughtful Tamarin