I want to write a function for centering an input data matrix by multiplying it with the centering matrix. The function shall subtract the row-wise mean from the input. My code: But I get a wrong result matrix, it is not centered. Thanks! Answer The centering matrix is Here is a list of issues in your original formulation: np.ones(n).T is
Tag: matrix-multiplication
Matrix from outer product not positive definite
I was trying to simulate multivariate normal data in python the following way However, the resulting variables are always perfectly linearly correlated. I then checked np.linalg.eigvals(Sigma) and realized that Sigma is not positive semi-definite. This surprised me since 1) I did not get an error from multivariate_normal and 2) Sigma was generated from an outer product, which is supposed to
How to multiply specific rows/columns of matrices with each other in python?
I have to input matrices of shape I want to multiply each row (each n of size 3) with its correspondence of the other matrix, such that i get a (3,3) matrix for each row. When im trying to just use e.g. m1[0]@m2.T[0] the operation doesnt work, as m[0] delivers a (3,) list instead of a (3,1) matrix, on which
Numpy.Matmul and Numpy.Dot: Accelerating code by using Numpy in-built functions
I am trying to speed up a function within my code. The initial function I had written was: where self.Asolution = odeint(…) , and same for self.Bsolution. self.Matrix is a square matrix of size self.N x self.N and simps is Simpson integration. self.Asolution and self.Bsolution have dimensions (t x N). However, I need to call this function many times, and