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Hardcover. Condition: new. Hardcover. Can you trust results from modeling and simulation? This text provides a framework for assessing the reliability of and uncertainty included in the results used by decision makers and policy makers in industry and government. The emphasis is on models described by PDEs and their numerical solution. Procedures and results from all aspects of verification and validation are integrated with modern methods in uncertainty quantification and stochastic simulation. Methods for combining numerical approximation errors, uncertainty in model input parameters, and model form uncertainty are presented in order to estimate the uncertain response of a system in the presence of stochastic inputs and lack of knowledge uncertainty. This new edition has been extensively updated, including a fresh look at model accuracy assessment and the responsibilities of management for modeling and simulation activities. Extra homework problems and worked examples have been added to each chapter, suitable for course use or self-study. This updated edition provides a framework for assessing the reliability and uncertainty of modeling and simulation results used in industry and government. With extra worked examples and homework problems for graduate students, and new material on topics including model accuracy assessment and management responsibilities for modeling activities. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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ISBN 10: 0521113601 ISBN 13: 9780521113601
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Can you trust results from modeling and simulation This text provides a framework for assessing the reliability of and uncertainty included in the results used by decision makers and policy makers in industry and government. The emphasis is on models described by PDEs and their numerical solution. Procedures and results from all aspects of verification and validation are integrated with modern methods in uncertainty quantification and stochastic simulation. Methods for combining numerical approximation errors, uncertainty in model input parameters, and model form uncertainty are presented in order to estimate the uncertain response of a system in the presence of stochastic inputs and lack of knowledge uncertainty. This new edition has been extensively updated, including a fresh look at model accuracy assessment and the responsibilities of management for modeling and simulation activities. Extra homework problems and worked examples have been added to each chapter, suitable for course use or self-study.
Language: English
Published by Cambridge University Press, 2010
ISBN 10: 0521113601 ISBN 13: 9780521113601
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Published by Cambridge University Press; Illustrated edition (November 22, 2010), 2010
ISBN 10: 0521113601 ISBN 13: 9780521113601
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First Edition
Hardcover. Condition: Good. Dust Jacket Condition: No Dustjacket. First Edition. ISBN 9780521113601. Hardback. No dustjacket. Bound in Pictorial Boards. Very Small previous owners name on the first page in and some slight underlining to interior text, , otherwise book is a Tight sound copy in Near Fine condition. Tight Bright attractive copy in As new condition otherwise . This book is Verification and Validation in Scientific Computing. No Signature.