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Graph Theory and Sparse Matrix Computation

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Graph Theory and Sparse Matrix Computation Alan George
Koda Libristo: 06797183
Založba Springer-Verlag New York Inc., oktober 2011
This IMA Volume in Mathematics and its Appllcations GRAPH THEORY AND SPARSE MATRIX COMPUTATION is ba... Celoten opis
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This IMA Volume in Mathematics and its Appllcations GRAPH THEORY AND SPARSE MATRIX COMPUTATION is based on the proceedings of a workshop that was an integraI part of the 1991- 92 IMA program on "Applied Linear AIgebra." The purpose of the workshop was to bring together people who work in sparse matrix computation with those who conduct research in applied graph theory and grl:l,ph algorithms, in order to foster active cross-fertilization. We are grateful to Richard Brualdi, George Cybenko, Alan Geo~ge, Gene Golub, Mitchell Luskin, and Paul Van Dooren for planning and implementing the year-Iong program. We espeeially thank Alan George, John R. Gilbert, and Joseph W.H. Liu for organizing this workshop and editing the proceedings. The finaneial support of the National Science Foundation made the workshop possible. A vner Friedman Willard Miller. Jr. PREFACE When reality is modeled by computation, linear algebra is often the con nec tiori between the continuous physical world and the finite algorithmic one. Usually, the more detailed the model, the bigger the matrix, the better the answer. Efficiency demands that every possible advantage be exploited: sparse structure, advanced com puter architectures, efficient algorithms. Therefore sparse matrix computation knits together threads from linear algebra, parallei computing, data struetures, geometry, and both numerieal and discrete algorithms.

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O knjigi

Polni naslov Graph Theory and Sparse Matrix Computation
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 2011
Število strani 245
EAN 9781461383710
ISBN 1461383714
Koda Libristo 06797183
Teža 406
Mere 155 x 235 x 15
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