Generate a matrix product of two NumPy arrays
We can multiply two matrices with the function np.matmul(a,b). When we multiply two arrays of order (m*n) and (p*q ) in order to obtained matrix product then its output contains m rows and q columns where n is n==p is a necessary condition.
Syntax: numpy.matmul(x1, x2, /, out=None, *, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj])
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To multiply two matrices take the row from first array and column of second array and multiply the corresponding elements. Then add the value for the final answer. Suppose there are two matrices A and B.
A = [[A00, A01], [A10, A11]] B = [[B00, B01], [B10, B11]] Then the product is calculated as shown below A*B = [[(A00*B00 + A01*B10), (A00*B01 + A01*B11)], [(A10*B00 + A11+B10), (A10*B01 + A11*B11)]]
Below is the implementation.
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