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With emphasis on Computational Linear Algebra, High Performance Computing, Mathematical Programming and Graph Theory. Searchable.
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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.
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Bibliographic references, links and search interfaces.
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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.
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Software, papers, and references.
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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.
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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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