Verification and Validation in Scientific Computing (Hardcover)

Advances in scientific computing have made modelling and simulation an important part of the decision-making process in engineering, science, and public policy. This book provides a comprehensive and systematic development of the basic concepts, principles, and procedures for verification and validation of models and simulations. The emphasis is placed on models that are described by partial differential and integral equations and the simulations that result from their numerical solution. The methods described can be applied to a wide range of technical fields, from the physical sciences, engineering and technology and industry, through to environmental regulations and safety, product and plant safety, financial investing, and governmental regulations. This book will be genuinely welcomed by researchers, practitioners, and decision makers in a broad range of fields, who seek to improve the credibility and reliability of simulation results. It will also be appropriate either for university courses or for independent study.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	October 2010
First published:	October 2010
Authors:	William L. Oberkampf • Christopher J. Roy
Dimensions:	254 x 179 x 40mm (L x W x T)
Format:	Hardcover
Pages:	790
ISBN-13:	978-0-521-11360-1
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
LSN:	0-521-11360-1
Barcode:	9780521113601

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