Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...

Distributed computations, such as distributed matrix multiplication, can be vulnerable to significant security issues, notably Byzantine attacks. These attacks may target either worker nodes or ...

statistics math dotnet optimization matrix matrix-factorization statistical-analysis special-functions scientific-computing matrix-multiplication data-analysis statistical-tests math-library numerics ...

A complete computer science study plan to become a software engineer. - jwasham/coding-interview-university ...

Without software engineering, you wouldn’t be reading this page. Software innovation has transformed the way we think about, and interact with, technology. In fact, all the forms of communication, ...

Mathematics is the universal language of science while computer science is the study of the hardware and algorithms that are used in modern computer systems. Since many of the early pioneers of ...

We introduce an algorithm that is simultaneously memory-efficient and low-scaling for applying ab initio molecular Hamiltonians to matrix-product states (MPS) via the tensor-hypercontraction (THC) ...

Spin-adapted configuration state functions (CSFs) provide a compact many-electron basis for open-shell molecules. This basis is employed in one flavor of the recently introduced iterative ...