Use numpy.dot or a.dot(b) . See the documentation here. ... This occurs because numpy arrays are not matrices, and the standard operations *, +, -, / work element ... ... <看更多>

Python Data Science: Arrays and Matrices In Python Using NumPy | Matrix Multiplication, Dot Product and ... ... <看更多>

PEP 465 introduced the @ infix operator that is designated to be used for matrix multiplication. The acceptance and implementation of this ... ... <看更多>

Multiplication of matrix is an operation which produces a single matrix by taking two matrices as input and multiplying rows of the first matrix to the column ... ... <看更多>

However, more importantly the operator @ which is matrix multiplication between numpy arrays is also supported. so just use that. ... <看更多>

I wrote a simple function in C that takes my (2,2,n) numpy array and performs the repeated matrix multiplication on it. I followed KobeGote's ... ... <看更多>