Jupyter is a way of creating interactive notebooks that blend text, graphics, and code. This is a unique form of programming.

Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a widely used algorithm in Machine Learning, particularly in the increasingly popular Graph Neural Networks (GNNs). SpMM is an essential ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

have just upgraded from 1.15 to 1.16, but rand across an issue with CSC matrices and multiplication. Demonstration of scipy sparse matrix multiply bug affecting CSC matrix indptr size. This script ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Abstract: While the Karatsuba algorithm reduces the complexity of large integer multiplication, the extra additions required minimize its benefits for smaller integers of more commonly-used bitwidths.

I got stuck with the following. I read the documentation and study the source code. The later, up to a certain degree. I have a covariance matrix A that I would like to rotate by C. The covariance and ...