Articles liés à Graph Theory and Sparse Matrix Computation
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- ÉditeurSpringer
- Date d'édition2011
- ISBN 10 1461383714
- ISBN 13 9781461383710
- ReliureBroché
- Langueanglais
- Nombre de pages264
- ÉditeurGeorge Alan, Gilbert John R., Liu Joseph W.H.
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Graph Theory and Sparse Matrix Computation (The IMA Volumes in Mathematics and its Applications)
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Etat : New. N° de réf. du vendeur ABLIING23Mar2716030034559
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Graph Theory and Sparse Matrix Computation
Edité par
Springer New York Okt 2011, 2011
ISBN 10 : 1461383714
ISBN 13 : 9781461383710
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 264 pp. Englisch. N° de réf. du vendeur 9781461383710
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Graph Theory and Sparse Matrix Computation (The IMA Volumes in Mathematics and its Applications)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Etat : New. In. N° de réf. du vendeur ria9781461383710_new
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Graph Theory and Sparse Matrix Computation
Edité par
Springer New York, Springer US, 2011
ISBN 10 : 1461383714
ISBN 13 : 9781461383710
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9781461383710
Quantité disponible : 1 disponible(s)
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Graph Theory and Sparse Matrix Computation
Edité par
Springer New York, 2011
ISBN 10 : 1461383714
ISBN 13 : 9781461383710
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book looks at graph theory as it connects to linear algebra, parallel computing, data structures, geometry, and both numerical and discrete algorithms. This book will be a resource for the researcher or advanced student of either graphs or sparse matri. N° de réf. du vendeur 4196264
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Graph Theory and Sparse Matrix Computation
Edité par
Springer-Verlag New York Inc., 2011
ISBN 10 : 1461383714
ISBN 13 : 9781461383710
Neuf
Paperback / softback
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 405. N° de réf. du vendeur C9781461383710
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Graph Theory and Sparse Matrix Computation (The Ima Volumes in Mathematics and Its Applications)
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. reprint edition. 245 pages. 9.25x6.10x0.60 inches. In Stock. N° de réf. du vendeur x-1461383714
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