Assessing the reliability of complex models : mathematical and statistical foundations of verification, validation, and uncertainty quantification /

"Advances in computing hardware and algorithms have dramatically improved the ability to simulate complex processes computationally. Today's simulation capabilities offer the prospect of addressing questions that in the past could be addressed only by resource-intensive experimentation, if...

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Bibliographic Details
Corporate Authors: National Research Council (U.S.). Committee on Mathematical Foundations of Verification, Validation, and Uncertainty Quantification., National Research Council (U.S.). Board on Mathematical Sciences and Their Applications., National Research Council (U.S.). Division on Engineering and Physical Sciences.
Format: eBook
Published: Washington, D.C. : National Academies Press, ©2012.
Online Access:CONNECT
Table of Contents:
  • Introduction
  • Sources of uncertainty and error
  • Verification
  • Emulation, reduced-order modeling, and forward propagation
  • Model validation and prediction
  • Making decisions
  • Next steps in practice, research, and education for verification, validation, and uncertainty quantification
  • Appendixes.