Assessing The Reliability Of Complex Models: Mathematical And Statistical Foundations Of Verification, Validation, And Uncertainty Quantification

National Research Council (Author), & 3 more

ISBN 10: 0309256348 / ISBN 13: 9780309256346

Published by National Academies Press; Illustrated edition (July 26, 2012), 2012

About this Item

ISBN 9780309256346. Trade paperback. Slight underlining to the interior text, Otherwise book is a Tight sound unmarked copy in Near Fine condition. Tight Bright attractive copy with no markings to the book otherwise, This book is Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification.

Seller Inventory # 222815

Bibliographic Details

• Title: Assessing The Reliability Of Complex Models: Mathematical And Statistical Foundations Of Verification, Validation, And Uncertainty Quantification
• Publisher: National Academies Press; Illustrated edition (July 26, 2012)
• Publication Date: 2012
• ISBN 10: 0309256348
• ISBN 13: 9780309256346
• Binding: Paperback
• Edition: First Edition.
• Condition: Good
• Dust Jacket Condition: No Dustjacket
• Signed: No Signature
• Seller catalogs:
  • Mathematics

About this title

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.