Concept: Coppersmith Freivald’s Algorithm is to check whether the matrix A multiplied by matrix B equals the given matrix C. It is used to verify matrix multiplication. It is verified with the help of an equation which stands A*(B*r)-(C*r)=0, where r is a random column vector consisting of 0/1 only.
Input: Enter the dimensions of the matrices: 2 Enter the 1st matrix: -2 1 0 4 Enter the 2st matrix: 6 5 -7 1 Enter the result matrix: -19 9 -28 4 Output: Yes, The matrix multiplication is correct.
Take the size of the matrix as input from the user.
Goal: According to the equation we need to verify matrix A * matrix B = matrix C.
Take inputs of matrix A(n*n) matrix B(n*n) and the resultant matrix C(n*n) as input.
1) Take array r[n] randomly which consists of elements of 0/1 only.
2) Compute matrix B*r, matrix C*r and then matrix A*(matrix B*r) for evaluating the expression matrix A*(matrix B * r) – (matrix C*r)
3) Check if the equation matrix A*(matrix B * r) – (matrix C*r)=0 or not.
4)If it is zero then print “Yes” else print “No”.
Implementation: Input should be taken in the order shown above, else it will lead to wrong results. Below is the example for consideration
Output: Custom input for 2 random matrices of order 2
Time Complexity : O(kN^2) where N is the size of the matrix.
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