Numerical methods for the solution of linear equations, eignevalue problems, matrix reduction and so on over the real or complex numbers. 1. Bibliography on the Solution of Sparse Linear Systems and Related Areas of Computation - 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. 2. Pseudospectra Gateway - 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. 3. Bibliography on Sparse Linear Systems and Related Areas of Computation - With emphasis on Computational Linear Algebra, High Performance Computing, Mathematical Programming and Graph Theory. Searchable. 4. Information Base on Sparse Linear Systems and Matrix Computations - Bibliographic references, links and search interfaces. 5. Matrix Market - 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. 6. Preconditioned Eigensolvers - Software, papers, and references. 7. Sparse Matrix Collection (T. Davis) - A collection of large sparse matrices from many scientific disciplines with links and software pieces to operate on matrix data structures.

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