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Assessing The Reliability Of Complex Models Mathematical And Statistical Foundations Of Verification Validation And Uncertainty Quantification 1st Edition National Research Council Division On Engineering And Physical Sciences Board On Mathematical Sciences And Their Applications And Uncertainty Quantification Validation Committee On Mathematical Foundations Of Verification

  • SKU: BELL-51400284
Assessing The Reliability Of Complex Models Mathematical And Statistical Foundations Of Verification Validation And Uncertainty Quantification 1st Edition National Research Council Division On Engineering And Physical Sciences Board On Mathematical Sciences And Their Applications And Uncertainty Quantification Validation Committee On Mathematical Foundations Of Verification
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Assessing The Reliability Of Complex Models Mathematical And Statistical Foundations Of Verification Validation And Uncertainty Quantification 1st Edition National Research Council Division On Engineering And Physical Sciences Board On Mathematical Sciences And Their Applications And Uncertainty Quantification Validation Committee On Mathematical Foundations Of Verification instant download after payment.

Publisher: National Academies Press
File Extension: EPUB
File size: 2.03 MB
Pages: 143
Author: National Research Council; Division on Engineering and Physical Sciences; Board on Mathematical Sciences and Their Applications; and Uncertainty Quantification Validation Committee on Mathematical Foundations of Verification
ISBN: 9780309256353, 0309256356
Language: English
Year: 2012
Edition: 1

Product desciption

Assessing The Reliability Of Complex Models Mathematical And Statistical Foundations Of Verification Validation And Uncertainty Quantification 1st Edition National Research Council Division On Engineering And Physical Sciences Board On Mathematical Sciences And Their Applications And Uncertainty Quantification Validation Committee On Mathematical Foundations Of Verification by National Research Council; Division On Engineering And Physical Sciences; Board On Mathematical Sciences And Their Applications; And Uncertainty Quantification Validation Committee On Mathematical Foundations Of Verification 9780309256353, 0309256356 instant download after payment.

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. "Assessing the Reliability of Complex Models" discusses changes in education of professionals and dissemination of information that should enhance the ability of future VVUQ practitioners to improve and properly apply VVUQ methodologies to difficult problems, enhance the ability of VVUQ customers to understand VVUQ results and use them to make informed decisions, and enhance the ability of all VVUQ stakeholders to communicate with each other. This report is an essential resource for all decision and policy makers in the field, students, stakeholders, UQ experts, and VVUQ educators and practitioners.

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