Verification and Validation in Scientific Computing

by William L. Oberkampf , Christopher J. Roy

• ISBN13: 9780521113601
• ISBN10: 0521113601
• Format: Hardcover
• Copyright: 2010-11-22
• Publisher: Cambridge University Press

Summary

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.

Table of Contents

Preface

Introduction

Fundamental Concepts

Fundamental concepts and terminology

Modeling and computational simulation

Code Verification

Software engineering

Code verification

Exact solutions

Solution Verification

Solution verification

Discretization error

Solution adaptation

Model Validation and Prediction

Model validation fundamentals

Design and execution of validation experiments

Model accuracy assessment

Predictive capability

Planning, Management, and Implementation Issues

Planning and prioritization in modeling and simulation

Maturity assessment of modeling and simulation

Development and responsibilities for verification, validation and uncertainty quantification

Appendix. Programming practices

Index

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