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Graph Theory and Sparse Matrix Computation: v. 56 (The IMA Volumes in Mathematics and its Applications) - Hardcover
Synopsis
When reality is modelled by computation, matrices are often the connection between the continuous physical world and the finite algorithmic one. Usually, the more detailed the model, the bigger the matrix; however, efficiency demands that every possible advantage be exploited. The articles in this volume are based on recent research on sparse matrix computations. They examine graph theory as it connects to linear algebra, parallel computing, data structures, geometry and both numerical and discrete algorithms. The articles are grouped into three general categories: graph models of symmetric matrices and factorizations; graph models of algorithms on nonsymmetric matrices; and parallel sparse matrix algorithms.
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- PublisherSpringer-Verlag Berlin and Heidelberg GmbH & Co. K
- Publication date1993
- ISBN 10 3540941312
- ISBN 13 9783540941316
- BindingHardcover
- LanguageEnglish
- Number of pages260
- EditorGeorge Alan, Etc., Gilbert J.R., Lui J.W.H.
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