Assessing the Reliability of Complex Models
Regular price
€43.99
Regular price
€44.99
Sale
Sale price
€43.99
14 days return policy
Shipping & Delivery
A01=and Uncertainty Quantification
A01=Board on Mathematical Sciences and Their Applications
A01=Committee on Mathematical Foundations of Verification
A01=Committee on Mathematical Foundations of Verification Validation and Uncertainty Quantification
A01=Division on Engineering and Physical Sciences
A01=National Research Council
A01=Validation
Age Group_Uncategorized
Age Group_Uncategorized
and Uncertainty Quantification
Author_and Uncertainty Quantification
Author_Board on Mathematical Sciences and Their Applications
Author_Committee on Mathematical Foundations of Verification
Author_Committee on Mathematical Foundations of Verification Validation and Uncertainty Quantification
Author_Division on Engineering and Physical Sciences
Author_National Research Council
Author_Validation
automatic-update
Category1=Non-Fiction
Category=PBKD
Category=PBT
COP=United States
Delivery_Delivery within 10-20 working days
eq_isMigrated=0
eq_isMigrated=2
eq_nobargain
Language_English
PA=Available
Price_€20 to €50
PS=Active
softlaunch
Validation
Product details
- ISBN 9780309256346
- Dimensions: 216 x 279mm
- Publication Date: 26 Jun 2012
- Publisher: National Academies Press
- Publication City/Country: US
- Product Form: Paperback
- Language: English
Secure
checkout
Fast Shipping
Easy returns
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.
