SparseM: A Sparse Matrix Package forR

SparseM: A Sparse Matrix Package for R

SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the package is illustrated by a family of linear model fitting functions that implement least squares methods for problems with sparse design matrices. Significant performance improvements in memory utilization and computational speed are possible for applications involving large sparse matrices.

Sparse matrix multiplication package (SMMP)

Routines callable from FORTRAN and C are described which implement matrix–matrix multiplication and transposition for a variety of sparse matrix formats. Conversion routines between various formats are provided.

WSMP : Watson Sparse Matrix Package

A general purpose sparse matrix parallel solvers package

A parallel solvers package of three solvers with a unified user interface is developed for solving a range of sparse symmetric complex linear systems arising from disc~tization of partial differential equations based on unstructu~d meshs using finite element, finite difference and finite volume analysis. Once the data interface is set up, the package constructs the sparse symmetric complex matr...

WSMP : Watson Sparse Matrix Package Part III – iterative solution of sparse systems