Verlag: Cambridge University Press, 2006
ISBN 10: 0521683378 ISBN 13: 9780521683371
Sprache: Englisch
Anbieter: Plurabelle Books Ltd, Cambridge, Vereinigtes Königreich
Verbandsmitglied: GIAQ
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EUR 21,22
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In den WarenkorbPaperback. Zustand: Very Good. xv 288p paperback, red cover, white lettering to spine, excellent copy, like new Language: English.
Verlag: Cambridge University Press, 2006
ISBN 10: 0521683378 ISBN 13: 9780521683371
Sprache: Englisch
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 34,38
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In den WarenkorbZustand: New. pp. 300.
Verlag: Cambridge University Press, 2006
ISBN 10: 052186478X ISBN 13: 9780521864787
Sprache: Englisch
Anbieter: Phatpocket Limited, Waltham Abbey, HERTS, Vereinigtes Königreich
EUR 54,12
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In den WarenkorbZustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 76,75
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In den WarenkorbPaperback. Zustand: Brand New. 288 pages. 8.75x6.00x0.75 inches. In Stock.
Verlag: Cambridge University Press, 2010
ISBN 10: 052186478X ISBN 13: 9780521864787
Sprache: Englisch
Anbieter: Buchpark, Trebbin, Deutschland
EUR 57,98
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In den WarenkorbZustand: Hervorragend. Zustand: Hervorragend | Seiten: 308 | Sprache: Englisch | Produktart: Bücher | In this introductory text, the fundamental algorithms of numerical linear algebra are developed in a parallel context.
Verlag: Cambridge University Press, 2006
ISBN 10: 052186478X ISBN 13: 9780521864787
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this text, students of applied mathematics, science and engineering are introduced to fundamental ways of thinking about the broad context of parallelism. The authors begin by giving the reader a deeper understanding of the issues through a general examination of timing, data dependencies, and communication. These ideas are implemented with respect to shared memory, parallel and vector processing, and distributed memory cluster computing. Threads, OpenMP, and MPI are covered, along with code examples in Fortran, C, and Java. The principles of parallel computation are applied throughout as the authors cover traditional topics in a first course in scientific computing. Building on the fundamentals of floating point representation and numerical error, a thorough treatment of numerical linear algebra and eigenvector/eigenvalue problems is provided. By studying how these algorithms parallelize, the reader is able to explore parallelism inherent in other computations, such as Monte Carlo methods.