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Verification and Validation in Scientific Computing

$140.00 (P)

  • Date Published: November 2010
  • availability: Available
  • format: Hardback
  • isbn: 9780521113601

$ 140.00 (P)

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About the Authors
  • 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.

    • Authors are internationally recognized contributors and experts in the field
    • Includes material suitable for undergraduate students with limited experience in the numerical solution of partial differential equations
    • Provides detailed worked examples to aid independent study
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    Reviews & endorsements

    "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."
    Joan Horvath, Computing Reviews

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    Product details

    • Date Published: November 2010
    • format: Hardback
    • isbn: 9780521113601
    • length: 790 pages
    • dimensions: 246 x 175 x 46 mm
    • weight: 1.45kg
    • contains: 220 b/w illus. 14 colour illus. 55 tables
    • availability: Available
  • Table of Contents

    1. Introduction
    Part I. Fundamental Concepts:
    2. Fundamental concepts and terminology
    3. Modeling and computational simulation
    Part II. Code Verification:
    4. Software engineering
    5. Code verification
    6. Exact solutions
    Part III. Solution Verification:
    7. Solution verification
    8. Discretization error
    9. Solution adaptation
    Part IV. Model Validation and Prediction:
    10. Model validation fundamentals
    11. Design and execution of validation experiments
    12. Model accuracy assessment
    13. Predictive capability
    Part V. Planning, Management, and Implementation Issues:
    14. Planning and prioritization in modeling and simulation
    15. Maturity assessment of modeling and simulation
    16. Development and responsibilities for verification, validation and uncertainty quantification
    Appendix. Programming practices

  • Resources for

    Verification and Validation in Scientific Computing

    William L. Oberkampf, Christopher J. Roy

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  • Authors

    William L. Oberkampf
    William L. Oberkampf has 39 years of experience in research and development in fluid dynamics, heat transfer, flight dynamics, and solid mechanics. He has worked in both computational and experimental areas, and taught 30 short courses in the field of verification and validation. He recently retired as a Distinguished Member of the Technical Staff at Sandia National Laboratories.

    Christopher J. Roy, Virginia Polytechnic Institute and State University
    Christopher J. Roy is Associate Professor in the Department of Aerospace and Ocean Engineering at Virginia Tech University.

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