With emphasis on Computational Linear Algebra, High Performance Computing, Mathematical Programming and Graph Theory. Searchable.

Bibliographic references, links and search interfaces.

Software, papers, and references.

A visual repository of test data for use in comparative studies of algorithms for numerical linear algebra, featuring nearly 500 sparse matrices from a variety of applications, as well as matrix generation tools and services.

A collection of large sparse matrices from many scientific disciplines with links and software pieces to operate on matrix data structures.

The pseudospectrum of a matrix provides information about the behavior of the eigenvalues of A when A is subject to perturbations. Links to other resources.

More than 2000 selected references, covering the solution of sparse linear systems and related areas of computation, including: computational linear algebra, high performance computing, mathematical programming and graph theory.