National Academies Press: OpenBook
« Previous: Appendix C: Committee Biographies
Suggested Citation:"Appendix D: Acronyms." National Research Council. 2012. Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification. Washington, DC: The National Academies Press. doi: 10.17226/13395.
×

Appendix D


Acronyms

AD automatic differentiation
AMR adaptive mesh refinement
ASCE American Society of Civil Engineers
 
CAD computer-aided design
CPU central processing unit
CRASH Center for Radiative Shock Hydrodynamics
 
DEIM discrete empirical interpolation method
DOD Department of Defense
DOE Department of Energy
 
EIM empirical interpolation method
EMI electromagnetic interference
 
GP Gaussian process
gPC generalized polynomial chaos
 
IPCC Intergovernmental Panel on Climate Change
 
LANL Los Alamos National Laboratory
LLNL Lawrence Livermore National Laboratory
 
MASA Manufactured Analytic Solution Abstraction
MC Monte Carlo
MCMC Markov chain Monte Carlo
MME multimodel ensemble
MMS method of manufactured solutions
MPS Division of Mathematics and Physical Sciences (National Science Foundation)
Suggested Citation:"Appendix D: Acronyms." National Research Council. 2012. Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification. Washington, DC: The National Academies Press. doi: 10.17226/13395.
×
M/U margin-to-uncertainty (ratio)
 
NAE National Academy of Engineering
NASA National Aeronautics and Space Administration
NNSA National Nuclear Security Administration
NRC National Research Council
NSF National Science Foundation
NWS National Weather Service
 
ODE ordinary differential equation
 
PC polynomial chaos
PDE partial differential equation
PDF probability density function
PECOS Center for Predictive Engineering and Computational Sciences
POD proper orthogonal decomposition
PSAAP Predictive Science Academic Alliance Program
 
QMU quantification of margins and uncertainty
QOI quantity of interest
 
SA sensitivity analysis; Spalart-Allmaras
SC stochastic collocation
SNL Sandia National Laboratories
SPICE Simulation Program with Integrated Circuit Emphasis
SQA software quality assurance
SSP Stockpile Stewardship Program
SUPG streamline-upwind/Petrov-Galerkin
 
TPM tire pressure monitoring
TPS thermal protection system
 
UQ uncertainty quantification
 
V&V verification and validation
VVUQ verification, validation, and uncertainty quantification
Suggested Citation:"Appendix D: Acronyms." National Research Council. 2012. Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification. Washington, DC: The National Academies Press. doi: 10.17226/13395.
×

This page intentionally left blank.

Suggested Citation:"Appendix D: Acronyms." National Research Council. 2012. Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification. Washington, DC: The National Academies Press. doi: 10.17226/13395.
×
Page 130
Suggested Citation:"Appendix D: Acronyms." National Research Council. 2012. Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification. Washington, DC: The National Academies Press. doi: 10.17226/13395.
×
Page 131
Suggested Citation:"Appendix D: Acronyms." National Research Council. 2012. Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification. Washington, DC: The National Academies Press. doi: 10.17226/13395.
×
Page 132
Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification Get This Book
×
Buy Paperback | $42.00 Buy Ebook | $33.99
MyNAP members save 10% online.
Login or Register to save!
Download Free PDF

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.

  1. ×

    Welcome to OpenBook!

    You're looking at OpenBook, NAP.edu's online reading room since 1999. Based on feedback from you, our users, we've made some improvements that make it easier than ever to read thousands of publications on our website.

    Do you want to take a quick tour of the OpenBook's features?

    No Thanks Take a Tour »
  2. ×

    Show this book's table of contents, where you can jump to any chapter by name.

    « Back Next »
  3. ×

    ...or use these buttons to go back to the previous chapter or skip to the next one.

    « Back Next »
  4. ×

    Jump up to the previous page or down to the next one. Also, you can type in a page number and press Enter to go directly to that page in the book.

    « Back Next »
  5. ×

    Switch between the Original Pages, where you can read the report as it appeared in print, and Text Pages for the web version, where you can highlight and search the text.

    « Back Next »
  6. ×

    To search the entire text of this book, type in your search term here and press Enter.

    « Back Next »
  7. ×

    Share a link to this book page on your preferred social network or via email.

    « Back Next »
  8. ×

    View our suggested citation for this chapter.

    « Back Next »
  9. ×

    Ready to take your reading offline? Click here to buy this book in print or download it as a free PDF, if available.

    « Back Next »
Stay Connected!