Idioma: Inglés
Publicado por Oxford University Press, Oxford, 2017
ISBN 10: 0198508387 ISBN 13: 9780198508380
Librería: Research Ink, Takoma Park, MD, Estados Unidos de America
EUR 61,82
Cantidad disponible: 1 disponibles
Añadir al carritoHardback. Condición: As new. xx + 429 pp. Numerical Mathematics and Scientific Computation. book.
Idioma: Inglés
Publicado por Oxford University Press, 2017
ISBN 10: 0198508387 ISBN 13: 9780198508380
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 138,06
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Oxford University Press, 2017
ISBN 10: 0198508387 ISBN 13: 9780198508380
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 145,05
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Oxford University Press, 2017
ISBN 10: 0198508387 ISBN 13: 9780198508380
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 129,91
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Oxford University Press, 2017
ISBN 10: 0198508387 ISBN 13: 9780198508380
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 138,29
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Oxford University Press, 2017
ISBN 10: 0198508387 ISBN 13: 9780198508380
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 165,70
Cantidad disponible: 15 disponibles
Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 192,11
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 2nd edition. 416 pages. 9.00x6.00x1.00 inches. In Stock.
Idioma: Inglés
Publicado por Oxford University Press, Oxford, 2017
ISBN 10: 0198508387 ISBN 13: 9780198508380
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 140,40
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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.
Idioma: Inglés
Publicado por Oxford University Press, 2017
ISBN 10: 0198508387 ISBN 13: 9780198508380
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 127,68
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Oxford University Press|OUP Oxford, 2017
ISBN 10: 0198508387 ISBN 13: 9780198508380
Librería: moluna, Greven, Alemania
EUR 142,27
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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 large problems in many fields. This book pro.
Idioma: Inglés
Publicado por Oxford University Press OUP, 2017
ISBN 10: 0198508387 ISBN 13: 9780198508380
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 206,75
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand 2nd edition NO-PA16APR2015-KAP.
Idioma: Inglés
Publicado por Oxford University Press, Oxford, 2017
ISBN 10: 0198508387 ISBN 13: 9780198508380
Librería: CitiRetail, Stevenage, Reino Unido
EUR 168,51
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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.
Idioma: Inglés
Publicado por Oxford University Press, 2017
ISBN 10: 0198508387 ISBN 13: 9780198508380
Librería: Majestic Books, Hounslow, Reino Unido
EUR 213,05
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.
Idioma: Inglés
Publicado por Oxford University Press(UK), 2017
ISBN 10: 0198508387 ISBN 13: 9780198508380
Librería: preigu, Osnabrück, Alemania
EUR 147,50
Cantidad disponible: 5 disponibles
Añadir al carritoBuch. Condición: Neu. Direct Methods for Sparse Matrices | Iain S Duff (u. a.) | Buch | Gebunden | Englisch | 2017 | Oxford University Press(UK) | EAN 9780198508380 | Verantwortliche Person für die EU: Deutsche Bibelgesellschaft, Postfach:81 03 40, 70567 Stuttgart, vertrieb[at]dbg[dot]de | Anbieter: preigu Print on Demand.
Idioma: Inglés
Publicado por Oxford University Press, 2017
ISBN 10: 0198508387 ISBN 13: 9780198508380
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 216,97
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.
Idioma: Inglés
Publicado por Oxford University Press(UK), 2017
ISBN 10: 0198508387 ISBN 13: 9780198508380
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 176,28
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: 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.