Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Ajouter au panierEtat : New. In.
Edité par Springer Berlin Heidelberg, 1984
ISBN 10 : 3540129146 ISBN 13 : 9783540129141
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 1 Large sparse systems of linear equations.- 2 Large sparse linear least squares.- 3 Large sparse linear programming.- 4 Nonlinear equations and nonlinear least squares.- 5 Large unconstrained optimization problems.- 6 Large sparse quadratic programs.
Edité par Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 1984, 1984
ISBN 10 : 3540129146 ISBN 13 : 9783540129141
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -1 Large sparse systems of linear equations.- 2 Large sparse linear least squares.- 3 Large sparse linear programming.- 4 Nonlinear equations and nonlinear least squares.- 5 Large unconstrained optimization problems.- 6 Large sparse quadratic programs.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 116 pp. Englisch.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 29,50
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Ajouter au panierEtat : New.
Edité par LAP Lambert Academic Publishing, 2010
ISBN 10 : 3838334698 ISBN 13 : 9783838334691
Langue: anglais
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 105,72
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Ajouter au panierPaperback. Etat : Like New. Like New. book.
Edité par Springer Berlin Heidelberg, 1984
ISBN 10 : 3540129146 ISBN 13 : 9783540129141
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 22,04
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 1 Large sparse systems of linear equations.- 2 Large sparse linear least squares.- 3 Large sparse linear programming.- 4 Nonlinear equations and nonlinear least squares.- 5 Large unconstrained optimization problems.- 6 Large sparse quadratic programs.
Edité par Springer Berlin Heidelberg Apr 1984, 1984
ISBN 10 : 3540129146 ISBN 13 : 9783540129141
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 21,39
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -1 Large sparse systems of linear equations.- 2 Large sparse linear least squares.- 3 Large sparse linear programming.- 4 Nonlinear equations and nonlinear least squares.- 5 Large unconstrained optimization problems.- 6 Large sparse quadratic programs. 116 pp. Englisch.
Edité par LAP LAMBERT Academic Publishing, 2010
ISBN 10 : 3838334698 ISBN 13 : 9783838334691
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 49
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With new processor families appearing every few years, it is increasingly harder to achieve high performance rates in sparse matrix computations. This monograph studies new methods for sparse matrix factorizations and applies them efficiently while retaining ease of use of existing solutions. The implementations are timed and analyzed using a commonly accepted set of test matrices. Contemporary processors are used for the tests. The new factorization techniques are proven to be quite competitive with state of the art software. In addition, an optimization effort is applied to an iterative algorithm that stands out for its numerical robustness. This also gives satisfactory results on the tested computing platforms in terms of performance improvement. The same set of test matrices is used to enable an easy comparison between both investigated techniques, even though they are customarily treated separately in the literature. Possible extensions of the presented work range from easily conceivable merging with existing solutions to rather more evolved schemes dependent on hard to predict progress in theoretical and algorithmic research.