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Verification Validation Uncertainty Quantification by William Oberkampf (15 results)
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Verification, Validation, and Uncertainty Quantification in Scientific Computing
Published by Cambridge University Press, 2025
ISBN 10: 131651613X ISBN 13: 9781316516133
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 118.43
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Verification, Validation, and Uncertainty Quantification in Scientific Computing
Published by Cambridge University Press, 2025
ISBN 10: 131651613X ISBN 13: 9781316516133
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Verification, Validation, and Uncertainty Quantification in Scientific Computing
Published by Cambridge University Press, 2025
ISBN 10: 131651613X ISBN 13: 9781316516133
Language: English
£ 117.04
Convert currency£ 6.71 shipping from U.S.A. to United KingdomQuantity: 4 available
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Verification, Validation, and Uncertainty Quantification in Scientific Computing
Published by Cambridge University Press, 2025
ISBN 10: 131651613X ISBN 13: 9781316516133
Language: English
£ 121.31
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Verification, Validation, and Uncertainty Quantification in Scientific Computing (Hardcover)
Published by Cambridge University Press, Cambridge, 2025
ISBN 10: 131651613X ISBN 13: 9781316516133
Language: English
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 UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Verification, Validation, and Uncertainty Quantification in Scientific Computing
Published by Cambridge University Press, 2025
ISBN 10: 131651613X ISBN 13: 9781316516133
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 129.92
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Verification, Validation, and Uncertainty Quantification in Scientific Computing
Published by Cambridge University Press, 2025
ISBN 10: 131651613X ISBN 13: 9781316516133
Language: English
£ 119.27
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Verification, Validation, and Uncertainty Quantification in Scientific Computing
Published by Cambridge University Press, 2025
ISBN 10: 131651613X ISBN 13: 9781316516133
Language: English
£ 131.74
Convert currency£ 14.90 shipping from U.S.A. to United KingdomQuantity: Over 20 available
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Verification, Validation, and Uncertainty Quantification in Scientific Computing (Hardcover)
Published by Cambridge University Press, Cambridge, 2025
ISBN 10: 131651613X ISBN 13: 9781316516133
Language: English
£ 130.08
Convert currency£ 37.27 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketHardcover. 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 multiple locations in the US or from the UK, depending on stock availability.
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Verification, Validation, and Uncertainty Quantification in Scientific Computing
Published by Cambridge University Press, 2025
ISBN 10: 131651613X ISBN 13: 9781316516133
Language: English
Hardcover. Condition: Brand New. 2nd edition. 850 pages. 10.00x7.01x0.50 inches. In Stock.
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Verification, Validation, and Uncertainty Quantification in Scientific Computing (Hardcover)
Published by Cambridge University Press, Cambridge, 2025
ISBN 10: 131651613X ISBN 13: 9781316516133
Language: English
£ 160.73
Convert currency£ 27.58 shipping from Australia to United KingdomQuantity: 1 available
Add to basketHardcover. 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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Verification, Validation, and Uncertainty Quantification in Scientific Computing
Published by Cambridge University Press Apr 2025, 2025
ISBN 10: 131651613X ISBN 13: 9781316516133
Language: English
£ 181.92
Convert currency£ 11.97 shipping from Germany to United KingdomQuantity: 2 available
Add to basketBuch. Condition: Neu. Neuware - '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'--.
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Verification, Validation, and Uncertainty Quantification in Scientific Computing
Published by Cambridge University Press, 2025
ISBN 10: 131651613X ISBN 13: 9781316516133
Language: English
Condition: New. Print on Demand.
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Verification, Validation, and Uncertainty Quantification in Scientific Computing
Published by Cambridge University Press, 2025
ISBN 10: 131651613X ISBN 13: 9781316516133
Language: English
Hardcover. Condition: Brand New. 2nd edition. 850 pages. 10.00x7.01x0.50 inches. In Stock. This item is printed on demand.
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Verification, Validation, and Uncertainty Quantification in Scientific Computing
Published by Cambridge University Press, 2025
ISBN 10: 131651613X ISBN 13: 9781316516133
Language: English
£ 128.77
Convert currency£ 6.80 shipping from Germany to United KingdomQuantity: 4 available
Add to basketCondition: New. PRINT ON DEMAND.
