Sprache: Englisch
Verlag: Society for Industrial and Applied Mathematics (SIAM), 1995
ISBN 10: 089871348X ISBN 13: 9780898713480
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In den WarenkorbPAP. Zustand: Used - Very Good. Used - Like New Book. Shipped from UK. Established seller since 2000.
Sprache: Englisch
Verlag: Society for Industrial and Applied Mathematics, 1995
ISBN 10: 089871348X ISBN 13: 9780898713480
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Zustand: New.
Sprache: Englisch
Verlag: Society for Industrial and Applied Mathematics (SIAM), 1995
ISBN 10: 089871348X ISBN 13: 9780898713480
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Domain-Based Parallelism and Problem Decomposition Methods in Computational Science and Engineering | David E Keyes (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 1995 | Society for Industrial and Applied Mathematics (SIAM) | EAN 9780898713480 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: Society For Industrial And Applied Mathematics (SIAM) Jan 1987, 1987
ISBN 10: 089871348X ISBN 13: 9780898713480
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - This refereed volume arose from the editors' recognition that physical scientists, engineers, and applied mathematicians are developing, in parallel, solutions to problems of parallelization. The cross-disciplinary field of scientific computation is bringing about better communication between heterogeneous computational groups, as they face this common challenge. This volume is one attempt to provide cross-disciplinary communication.Problem decomposition and the use of domain-based parallelism in computational science and engineering was the subject addressed at a workshop held at the University of Minnesota Supercomputer Institute in April 1994. The authors were subsequently able to address the relationships between their individual applications and independently developed approaches.This book is written for an interdisciplinary audience and concentrates on transferable algorithmic techniques, rather than the scientific results themselves. Cross-disciplinary editing was employed to identify jargon that needed further explanation and to ensure provision of a brief scientific background for each chapter at a tutorial level so that the physical significance of the variables is clear and correspondences between fields are visible.