Move from Matlab to Python numpy

Question

I am new to python so by gentle with me , I try to convert code from Matlab to numpy python , I am working with matrix .

I have some basic question (that I didn't found the answers in Google):

What is the equivalent for the ' tag for example : H' , H= H*H'

What is the equivalent for the / (mrdivide) tag for example : H= H/A

Thanks, MAK

• Warren Weckesser: FYI: docs.scipy.org/doc/numpy-dev/user/numpy-for-matlab-users.html

Answer 1

• ' (transpose) means the conjugate transpose of a matrix. For real matrices, it is given by np.transpose(arr) or the shorthand arr.T. For complex matrices, you need to use more complicated arr.conj().T.

• / (mrdivide) solves the equation x A = b -> x = b / A using least squares (np.linalg.lstsq). This is equivalent to (x A)^T = b^T -> A^T x^T = b^T, which can be done using np.linalg.lstsq(A.T, b.T).T.

• MAK: Thank you for your helpful answers!! . In your answer you make a little work around job :-) , you use the equation B/A = (A'\B')' (np.linalg.lstsq(A.T, b.T).T). Thare any straightforward method in numpy for solves the equation B/A? . In addition the method (np.linalg.lstsq) work only for A n-by-n matrix and B is a matrix with n columns ? or like matlab give full solution ?, again THANKS!!!!