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Verification and Validation in Scientific Computing Hardcover – 14 Oct 2010


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'This ambitious and well-written book is an excellent comprehensive review of what you need to know to evaluate or build a complex model or simulation of a physical process … would be a good textbook for a senior-level engineering or physics undergraduate semester course, particularly a project-based one that develops requirements for a simple prototype numerical model of a system.' Joan Horvath, Computing Reviews

'This book provides a comprehensive and systematic development of basic concepts and procedures for verification and validation of models and simulations.' Zentralblatt MATH

Book Description

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 framework for assessing its reliability and addresses inherent uncertainties, numerical approximation errors, and modeling errors.

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Amazon.com: 2 reviews
10 of 10 people found the following review helpful
High-quality, comprehensive book 31 May 2011
By chaz - Published on Amazon.com
Format: Hardcover
This book is an excellent resource for anyone dealing with concepts of verification and validation. This was an important part of my thesis work, and this reference was invaluable in providing a much-needed comprehensive overview of the verification and validation literature. Both Oberkampf and Roy have done much pioneering in the field of V&V, so the reader is in good/capable hands. The book covers some fundamental V&V concepts, then moves into code verification and software quality assurance (Part II) and solution verification (Part III). It then covers model validation (Part IV), and covers issues in implementation, planning, and management and use of V&V in these activities (Part V). Part V is perhaps the most unique part of the book, but the coverage in all parts of the book is thorough.

This, along with Roache's "Verification and Validation in Computational Science and Engineering" (1998), proved to be an excellent survey of the field. (Much less helpful was the Salari and Knupp's "Verification of Computer Codes" (2002)). Coleman's "Experimentation, Validation, and Uncertainty Analysis for Engineers" (2009) has a more heavily experimental flavor, but is another great resource in this field.
Numerical simulation. 9 May 2015
By Richard L Sun - Published on Amazon.com
Format: Hardcover Verified Purchase
Nice book for this subject from the experts in the field.
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