Assessing the Reliability of Complex Models Mathematical and Statistical Foundations of Verification, Validation, and U

Free Download National Research Council, "Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and U"
English | ISBN: 0309256348 | 2012 | 144 pages | EPUB | 2 MB
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 at all. Assessing the Reliability of Complex Models recognizes the ubiquity of uncertainty in computational estimates of reality and the necessity for its quantification.

As computational science and engineering have matured, the process of quantifying or bounding uncertainties in a computational estimate of a physical quality of interest has evolved into a small set of interdependent tasks: verification, validation, and uncertainty of quantification (VVUQ). In recognition of the increasing importance of computational simulation and the increasing need to assess uncertainties in computational results, the National Research Council was asked to study the mathematical foundations of VVUQ and to recommend steps that will ultimately lead to improved processes.
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