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220512 ||| eng |
| 020 |
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|a 9780191746420
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| 050 |
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4 |
|a QA188
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| 100 |
1 |
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|a Duff, Iain S.
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| 245 |
0 |
0 |
|a Direct methods for sparse matrices
|h Elektronische Ressource
|c I.S. Duff, A.M. Erisman, and J.K. Reid
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| 250 |
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|a Second edition
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| 260 |
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|a Oxford
|b Oxford University Press
|c 2017, 2017
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| 300 |
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|a 1 online resource
|b illustrations (black and white)
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| 505 |
0 |
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|a Includes bibliographical references and index
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| 653 |
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|a Sparse matrices / Data processing
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| 653 |
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|a Mathematics / ukslc
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| 653 |
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|a Mathematics / thema
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| 700 |
1 |
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|a Erisman, A. M.
|e [author]
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| 700 |
1 |
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|a Reid, John Ker
|e [author]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OUP
|a Oxford University Press
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| 490 |
0 |
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|a Numerical mathematics and scientific computation / Numerical mathematics and scientific computation
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| 500 |
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|a This edition previously issued in print: 2017
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| 028 |
5 |
0 |
|a 10.1093/acprof:oso/9780198508380.001.0001
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1093/acprof:oso/9780198508380.001.0001?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 512.9434
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| 520 |
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|a The subject of sparse matrices has its root in such diverse fields as management science, power systems analysis, surveying, circuit theory, and structural analysis. Efficient use of sparsity is a key to solving large problems in many fields. This book provides both insight and answers for those attempting to solve these problems
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