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ISBN10: 3540290761, ISBN13: 9783540290766, [publisher: Springer] Softcover Ancien livre de bibliothèque. Edition 2006. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2006. Ammareal gives back up to 15% of this item's net price to charity organizations. [Morangis, France] [Publication Year: 2006]
ISBN10: 3540290761, ISBN13: 9783540290766, [publisher: Springer] Softcover Ancien livre de bibliothèque. Edition 2006. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2006. Ammareal gives back up to 15% of this item's net price to charity organizations. [Morangis, France] [Publication Year: 2006]
Springer, Date: 2006. Paperback. Very Good. Former library book. Edition 2006. Ammareal gives back up to 15% of this item's net price to charity organizations. 2006. Springer ISBN 3540290761 9783540290766 [FR]
ISBN10: 3540290761, ISBN13: 9783540290766, [publisher: Springer Berlin Heidelberg] Softcover Druck auf Anfrage Neuware - Printed after ordering - Since the dawn of computing, the quest for a better understanding of Nature has been a driving force for technological development. Groundbreaking achievements by great scientists have paved the way from the abacus to the supercomputing power of today. When trying to replicate Nature in the computer's silicon test tube, there is need for precise and computable process descriptions. The scienti c elds of Ma- ematics and Physics provide a powerful vehicle for such descriptions in terms of Partial Differential Equations (PDEs). Formulated as such equations, physical laws can become subject to computational and analytical studies. In the computational setting, the equations can be discreti ed for ef cient solution on a computer, leading to valuable tools for simulation of natural and man-made processes. Numerical so- tion of PDE-based mathematical models has been an important research topic over centuries, and will remain so for centuries to come. In the context of computer-based simulations, the quality of the computed results is directly connected to the model's complexity and the number of data points used for the computations. Therefore, computational scientists tend to ll even the largest and most powerful computers they can get access to, either by increasing the si e of the data sets, or by introducing new model ...
ISBN10: 3540290761, ISBN13: 9783540290766, [publisher: Springer Verlag] Softcover This book surveys the major topics that are essential to high-perfonmance simulation on parallel computers or computational clusters. These topics, including programming models, load balancing, mesh generation, efficient numerical solvers, and scientific software, are vital ingredients in the research fields of computer science, numerical analysis, and scientific computing. In addition to presenting the technological basis, this volume addresses selected applications that combine different techniques in order to meet demanding computational challegnes. Through conributions from a wide range of internationally acknowledged experts, this book gives a to-the-point overview of efficient ways to deal with large-scale simulation problems. 700 gr. [Santiago, RM, Chile] [Publication Year: 2006]
ISBN10: 3540290761, ISBN13: 9783540290766, [publisher: Springer Berlin Heidelberg] Softcover Druck auf Anfrage Neuware - Printed after ordering - Since the dawn of computing, the quest for a better understanding of Nature has been a driving force for technological development. Groundbreaking achievements by great scientists have paved the way from the abacus to the supercomputing power of today. When trying to replicate Nature in the computer's silicon test tube, there is need for precise and computable process descriptions. The scienti c elds of Ma- ematics and Physics provide a powerful vehicle for such descriptions in terms of Partial Differential Equations (PDEs). Formulated as such equations, physical laws can become subject to computational and analytical studies. In the computational setting, the equations can be discreti ed for ef cient solution on a computer, leading to valuable tools for simulation of natural and man-made processes. Numerical so- tion of PDE-based mathematical models has been an important research topic over centuries, and will remain so for centuries to come. In the context of computer-based simulations, the quality of the computed results is directly connected to the model's complexity and the number of data points used for the computations. Therefore, computational scientists tend to ll even the largest and most powerful computers they can get access to, either by increasing the si e of the data sets, or by introducing new model ...
Springer-Verlag New York Inc, Date: 2006. Paperback. New. 1st edition. 482 pages. 9.00x6.00x0.75 inches. 2006. Springer-Verlag New York Inc ISBN 3540290761 9783540290766 [GB]
ISBN10: 3540290761, ISBN13: 9783540290766, [publisher: Springer] Softcover pp. 500 [New York, NY, U.S.A.] [Publication Year: 2005]
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When you click on links to various merchants on this site and make a purchase, this can result in this site earning a commission at no extra cost to you. Affiliate programs and affiliations include, but are not limited to, the eBay Partner Network, Amazon and Alibris.
