Graph Theory and Sparse Matrix Computation (The IMA Volumes in Mathematics and its Applications) - Hardcover
Synopsis
When reality is modeled 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, the better the answer, however, efficiency demands that every possible advantage be exploited. The articles in this volume are based on recent research on sparse matrix computations. This volume looks at 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 graph models of symmetric matrices and factorizations, graph models of algorithms on nonsymmetric matrices, and parallel sparse matrix algorithms. This book will be a resource for the researcher or advanced student of either graphs or sparse matrices; it will be useful to mathematicians, numerical analysts and theoretical computer scientists alike.
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Graph Theory and Sparse Matrix Computation (The IMA Volumes in Mathematics and its Applications)
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Graph Theory and Sparse Matrix Computation (The IMA Volumes in Mathematics and its Applications 56)
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Condition: Very Good. *Price HAS BEEN REDUCED by 10% until Monday, May 11 (SALE item)* First edition, first printing, 245 pp., Hardcover, previous owner's name to front free endpaper, spine lightly faded else very good. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Seller Inventory # ZB1346638
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Graph Theory and Sparse Matrix Computation: Workshop on Sparse Matrix Computations: Graph Theory Issues and Algorithms : Selected Papers: 56 (The IMA Volumes in Mathematics and its Applications) [Oct 22, 1993] George, Alan; Gilbert, John R. and Liu, Joseph W. H.
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