Testing and Validation of Computer Simulation Models

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This must-read text/reference provides a practical guide to processes involved in the development and application of dynamic simulation models, covering a wide range of issues relating to testing, verification and validation. Illustrative example problems in continuous system simulation are presented throughout the book, supported by extended case studies from a number of interdisciplinary applications.Topics and features:Provides an emphasis on practical issues of model quality and validation, along with questions concerning the management of simulation models, the use of model libraries, and generic modelsContains numerous step-by-step examplesPresents detailed case studies, often with accompanying datasets for readers to use in model validation and testing exercisesIncludes discussion of hybrid models, which involve a combination of continuous system and discrete-event descriptionsExamines experimental modeling approaches that involve system identification and parameter estimation, emphasizing the practical importance of more theoretical concepts such as identifiability and test input designOffers supplementary material at an associated website, including links for readers without prior experience in this field to expand their background knowledgeThis highly useful, hands-on work will be of great benefit to practitioners and professionals who use simulation and modeling techniques in their work, as well as to students in graduate-level courses on modeling and simulation.Dr. David Murray-Smith is an Emeritus Professor and Honorary Senior Research Fellow at the University of Glasgow.
This must-read text/reference provides a practical guide to processes involved in the development and application of dynamic simulation models, covering a wide range of issues relating to testing, verification and validation. Illustrative example problems in continuous system simulation are presented throughout the book, supported by extended case studies from a number of interdisciplinary applications. Topics and features: provides an emphasis on practical issues of model quality and validation, along with questions concerning the management of simulation models, the use of model libraries, and generic models; contains numerous step-by-step examples; presents detailed case studies, often with accompanying datasets; includes discussion of hybrid models, which involve a combination of continuous system and discrete-event descriptions; examines experimental modeling approaches that involve system identification and parameter estimation; offers supplementary material at an associated website.
Examines practical issues of computer-model quality and validation—topics not covered adequately in other books Extrapolates principles and methods, showing ties to applications in computer science, engineering and biomedicine Provides detailed case studies, datasets and step-by-step examples to help readers see how the material is integrated

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David J. Murray-Smith

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