Verification and Validation in Scientific Computing

Nonfiction, Science & Nature, Mathematics, Discrete Mathematics, Computers, General Computing
Cover of the book Verification and Validation in Scientific Computing by William L. Oberkampf, Christopher J. Roy, Cambridge University Press
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Author: William L. Oberkampf, Christopher J. Roy ISBN: 9781139813761
Publisher: Cambridge University Press Publication: October 14, 2010
Imprint: Cambridge University Press Language: English
Author: William L. Oberkampf, Christopher J. Roy
ISBN: 9781139813761
Publisher: Cambridge University Press
Publication: October 14, 2010
Imprint: Cambridge University Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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