This scikit-sparse a companion to the scipy.sparse library for sparse matrix manipulation in Python. It provides routines that are not suitable for inclusion in scipy.sparse proper, usually because ...

Utility sparse matrix functions for Quantitative Language Comparison (QLC) This R-package contains various functions that extend the functionality of the Matrix package for using sparse matrices. Some ...

Sparse matrix-vector multiplication (SpMV) is a widely used computational kernel. The most commonly used format for a sparse matrix is CSR (Compressed Sparse Row), but a number of other ...

Sparse matrix operations are critical kernels in multiple application domains such as High Performance Computing, artificial intelligence and big data. Vector processing is widely used to improve ...