9780198508380 - direct methods for sparse matrices di duff, i. s.; erisman, a. m.; reid, j. k. (15 risultati)
Lingua: Inglese
Editore: Oxford University Press, Oxford, 2017
Serie: Numerical Mathematics and Scientific Computation, Libro 7 di 8. Libro 7 di 8 - Numerical Mathematics and Scientific Computation
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Hardback. Condizione: As new. xx + 429 pp. Numerical Mathematics and Scientific Computation. book.
Lingua: Inglese
Editore: Oxford University Press, 2017
Serie: Numerical Mathematics and Scientific Computation, Libro 7 di 8. Libro 7 di 8 - Numerical Mathematics and Scientific Computation
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Lingua: Inglese
Editore: Oxford University Press, 2017
Serie: Numerical Mathematics and Scientific Computation, Libro 7 di 8. Libro 7 di 8 - Numerical Mathematics and Scientific Computation
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Editore: Oxford University Press, 2017
Serie: Numerical Mathematics and Scientific Computation, Libro 7 di 8. Libro 7 di 8 - Numerical Mathematics and Scientific Computation
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Editore: Oxford University Press, 2017
Serie: Numerical Mathematics and Scientific Computation, Libro 7 di 8. Libro 7 di 8 - Numerical Mathematics and Scientific Computation
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Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Oxford University Press, 2017
Serie: Numerical Mathematics and Scientific Computation, Libro 7 di 8. Libro 7 di 8 - Numerical Mathematics and Scientific Computation
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: Oxford Univ Pr, 2017
Serie: Numerical Mathematics and Scientific Computation, Libro 7 di 8. Libro 7 di 8 - Numerical Mathematics and Scientific Computation
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Hardcover. Condizione: Brand New. 2nd edition. 416 pages. 9.00x6.00x1.00 inches. In Stock.
Lingua: Inglese
Editore: Oxford University Press, 2017
Serie: Numerical Mathematics and Scientific Computation, Libro 7 di 8. Libro 7 di 8 - Numerical Mathematics and Scientific Computation
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Oxford University Press, Oxford, 2017
Serie: Numerical Mathematics and Scientific Computation, Libro 7 di 8. Libro 7 di 8 - Numerical Mathematics and Scientific Computation
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Hardcover. Condizione: new. Hardcover. 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 second edition is a complete rewrite of the…first edition published 30 years ago. Much has changed since that time. Problems have grown greatly in size and complexity; nearly all examples in thefirst edition were of order less than 5,000 in the first edition, and are often more than a million in the second edition. Computer architectures are now much more complex, requiring new ways of adaptingalgorithms to parallel environments with memory hierarchies. Because the area is such an important one to all of computational science and engineering, a huge amount of research has been done in the last 30 years, some of it by the authors themselves. This new research is integrated into the text with a clear explanation of the underlying mathematics and algorithms.New research that is described includes new techniques for scaling and error control, new orderings, newcombinatorial techniques for partitioning both symmetric and unsymmetric problems, and a detailed description of the multifrontal approach to solving systems that was pioneered by the research of theauthors and colleagues. This includes a discussion of techniques for exploiting parallel architectures and new work for indefinite and unsymmetric systems. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Oxford University Press|OUP Oxford, 2017
Serie: Numerical Mathematics and Scientific Computation, Libro 7 di 8. Libro 7 di 8 - Numerical Mathematics and Scientific Computation
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 larg…e problems in many fields. This book pro.
Lingua: Inglese
Editore: Oxford University Press OUP, 2017
Serie: Numerical Mathematics and Scientific Computation, Libro 7 di 8. Libro 7 di 8 - Numerical Mathematics and Scientific Computation
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. Print on Demand 2nd edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Oxford University Press, 2017
Serie: Numerical Mathematics and Scientific Computation, Libro 7 di 8. Libro 7 di 8 - Numerical Mathematics and Scientific Computation
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Lingua: Inglese
Editore: Oxford University Press, Oxford, 2017
Serie: Numerical Mathematics and Scientific Computation, Libro 7 di 8. Libro 7 di 8 - Numerical Mathematics and Scientific Computation
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Hardcover. Condizione: new. Hardcover. 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 second edition is a complete rewrite of the…first edition published 30 years ago. Much has changed since that time. Problems have grown greatly in size and complexity; nearly all examples in thefirst edition were of order less than 5,000 in the first edition, and are often more than a million in the second edition. Computer architectures are now much more complex, requiring new ways of adaptingalgorithms to parallel environments with memory hierarchies. Because the area is such an important one to all of computational science and engineering, a huge amount of research has been done in the last 30 years, some of it by the authors themselves. This new research is integrated into the text with a clear explanation of the underlying mathematics and algorithms.New research that is described includes new techniques for scaling and error control, new orderings, newcombinatorial techniques for partitioning both symmetric and unsymmetric problems, and a detailed description of the multifrontal approach to solving systems that was pioneered by the research of theauthors and colleagues. This includes a discussion of techniques for exploiting parallel architectures and new work for indefinite and unsymmetric systems. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Oxford University Press, 2017
Serie: Numerical Mathematics and Scientific Computation, Libro 7 di 8. Libro 7 di 8 - Numerical Mathematics and Scientific Computation
- Rilegato
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: Oxford University Press(UK), 2017
Serie: Numerical Mathematics and Scientific Computation, Libro 7 di 8. Libro 7 di 8 - Numerical Mathematics and Scientific Computation
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 second edition is a complete rewrite of the first edition published 30 years ago. Much has changed since that time. Problems have grown greatly in size and complexity; nearly all examples in the first edition were of order less than 5,000 in the first edition, and are often more than a million in the second edition. Computer architectures are now much more complex, requiring new ways of adapting algorithms to parallel environments with memory hierarchies. Because the area is such an important one to all of computational science and engineering, a huge amount of research has been done in the last 30 years, some of it by the authors themselves. This new research is integrated into the text with a clear explanation of the underlying mathematics and algorithms.New research that is described includes new techniques for scaling and error control, new orderings, new combinatorial techniques for partitioning both symmetric and unsymmetric problems, and a detailed description of the multifrontal approach to solving systems that was pioneered by the research of the authors and colleagues. This includes a discussion of techniques for exploiting parallel architectures and new work for indefinite and unsymmetric systems.
