{"product_id":"verification-validation-and-uncertainty-quantification-in-scientific-computing-hardback-9781316516133","title":"Verification, Validation, and Uncertainty Quantification in Scientific Computing (Hardback) 9781316516133","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eVerification, Validation, and Uncertainty Quantification in Scientific Computing\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eDiscover how verification of codes and simulations, validation of models, allied with uncertainty quantification, improves decision making.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eWilliam L. Oberkampf (Author), Christopher J. Roy (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781316516133, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 3 April 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e729 pages\u003cbr\u003e26.3 x 18.6 x 4.2 cm, 1.544 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e'This landmark book, by two top-level experts in VVUQ, is a major contribution to the field of scientific computing. It provides the concepts and the tools to develop critical judgement when evaluating results from numerical simulations. Addressing students, researchers as well as practitioners. An essential and necessary contribution towards gaining confidence in the computational based design process!' Charles Hirsch, Vrije Universiteit Brussel\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eCan 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.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e1. Introduction\u003cbr\u003e Part I. Fundamental Concepts: 2. Fundamental concepts and terminology\u003cbr\u003e 3. Modeling and computational simulation\u003cbr\u003e Part II. Code Verification and Software Engineering: 4. Software engineering for scientific computing\u003cbr\u003e 5. Code order-of-accuracy verification\u003cbr\u003e 6. Exact and manufactured solutions\u003cbr\u003e Part III. Solution Verification: 7. Numerical uncertainty estimation\u003cbr\u003e 8. Iterative error\u003cbr\u003e 9. Discretization error\u003cbr\u003e Part IV. Model Validation and Predictive Capability: 10. Model validation fundamentals\u003cbr\u003e 11. Design and execution of model validation experiments\u003cbr\u003e 12. Model accuracy assessment\u003cbr\u003e 13. Predictive capability\u003cbr\u003e Part V. Planning, Management, and Implementation Issues: 14. Planning and prioritization in modeling and simulation\u003cbr\u003e 15. Maturity assessment of modeling and simulation\u003cbr\u003e 16. Verification, validation, and uncertainty quantification responsibilities and management\u003cbr\u003e Index.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Applied mathematics [\u003ca title=\"See our other books on Applied mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Applied%20mathematics%20%5BPBW%5D%22\"\u003ePBW\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Brand New","offer_id":52472099078424,"sku":"9781316516133","price":89.79,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781316516133i.jpg?v=1785716915","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/verification-validation-and-uncertainty-quantification-in-scientific-computing-hardback-9781316516133","provider":"Freshly Printed Books","version":"1.0","type":"link"}