Computational Physics, Linear Algebra, Python, Math, Physics.
equivalent of the norm for matrices. It is defined by: We can check this by np.linalg.norm() np.linalg.norm(A) 17.549928774784245 The Frobenius norm of A is 17.549928774784245, with the trace the result is identical. np.sqrt(np.trace(A.dot(A.T))) 17.549928774784245 np.sqrt(np.trace(A.dot(A.T))) ==