The estimation of truncation error by τ-estimation revisited
Journal of Computational Physics
Verification of variable-density flow solvers using manufactured solutions
Journal of Computational Physics
Computers & Mathematics with Applications
Estimation of discretization error in electromagnetic transient simulation models of power systems
Proceedings of the 2011 Grand Challenges on Modeling and Simulation Conference
Validation of nuclear models used in space radiation shielding applications
Journal of Computational Physics
Data partition methodology for validation of predictive models
Computers & Mathematics with Applications
Evaluating integrated assessment models of global climate change
Environmental Modelling & Software
Exascale design space exploration and co-design
Future Generation Computer Systems
Bayesian estimates of parameter variability in the k-ε turbulence model
Journal of Computational Physics
The Estimation of Truncation Error by $$\tau $$-Estimation for Chebyshev Spectral Collocation Method
Journal of Scientific Computing
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Advances in scientific computing have made modelling and simulation an important part of the decision-making process in engineering, science, and public policy. This book provides a comprehensive and systematic development of the basic concepts, principles, and procedures for verification and validation of models and simulations. The emphasis is placed on models that are described by partial differential and integral equations and the simulations that result from their numerical solution. The methods described can be applied to a wide range of technical fields, from the physical sciences, engineering and technology and industry, through to environmental regulations and safety, product and plant safety, financial investing, and governmental regulations. This book will be genuinely welcomed by researchers, practitioners, and decision makers in a broad range of fields, who seek to improve the credibility and reliability of simulation results. It will also be appropriate either for university courses or for independent study.