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Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification - Softcover
Synopsis
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.
Table of Contents- Front Matter
- Summary
- 1 Introduction
- 2 Sources of Uncertainty and Error
- 3 Verification
- 4 Emulation, Reduced-Order Modeling, and Forward Propagation
- 5 Model Validation and Prediction
- 6 Making Decisions
- 7 Next Steps in Practice, Research, and Education for Verification, Validation, and Uncertainty Quantification
- Appendixes
- Appendix A: Glossary
- Appendix B: Agendas of Committee Meetings
- Appendix C: Committee Biographies
- Appendix D: Acronyms
"synopsis" may belong to another edition of this title.
- PublisherNational Academies Press
- Publication date2012
- ISBN 10 0309256348
- ISBN 13 9780309256346
- BindingPaperback
- LanguageEnglish
- Number of pages144
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Assessing The Reliability Of Complex Models: Mathematical And Statistical Foundations Of Verification, Validation, And Uncertainty Quantification
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National Academies Press; Illustrated edition (July 26, 2012), 2012
ISBN 10: 0309256348
ISBN 13: 9780309256346
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Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification
Published by
National Academies Press, 2012
ISBN 10: 0309256348
ISBN 13: 9780309256346
Used
Paperback
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Seller rating 5 out of 5 stars
Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.95. Seller Inventory # G0309256348I3N00
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Assessing the Reliability of Complex Models; Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification
Published by
The National Academies Press, Washington DC, 2012
ISBN 10: 0309256348
ISBN 13: 9780309256346
Used
Trade paperback
First Edition
Seller: Ground Zero Books, Ltd., Silver Spring, MD, U.S.A.
Seller rating 5 out of 5 stars
Trade paperback. Condition: Very good. Presumed First Edition, First printing. xi, [1], 131, [1] pages. Footnotes. Formulae. Figures (some with color). Boxes (some with color). References. In recognition of the increasing importance of computational simulation and the increasing need to assess uncertainties in computational results, the National Research Council (NRC) was asked to study the mathematical foundations of VVUQ and to recommend steps that will ultimately lead to improved processes. The specific tasking to the Committee on Mathematical Foundations of Verification, Validation, and Uncertainty Quantification is as follows: ? A committee of the National Research Council will examine practices for VVUQ of large-scale computational simulations in several research communities. ? The committee will identify common concepts, terms, approaches, tools, and best practices of VVUQ. ? The committee will identify mathematical sciences research needed to establish a foundation for building a science of verification and validation (V&V) and for improving the practice of VVUQ. ? The committee will recommend educational changes needed in the mathematical sciences community and mathematical sciences education needed by other scientific communities to most effectively use VVUQ. 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. Seller Inventory # 79972
Quantity: 1 available