Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification (2012)
Chapter: Appendix D: Acronyms
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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.
| 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 |
| 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.
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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.
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.
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.
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