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Cambridge University Press Verification, Validation, and Uncertainty Quantification in Scientific Computing

Name: Verification, Validation, and Uncertainty Quantification in Scientific Computing
Brand: Cambridge University Press

Software Testing

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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.

Product Specifications

Brand: Cambridge University Press
Format: hardcover
ASIN: 131651613X
Category: Books > Subjects > Computing & Internet > Programming > Software Design, Testing & Engineering > Software Testing
Domain: Amazon UK
Release Date: 03 April 2025
Listed Since: 28 May 2024

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Cambridge University Press Verification, Validation, and Uncertainty Quantification in Scientific Computing

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