Uncertainty quantification (UQ) is the science of quantitative characterization and estimation of uncertainties in both computational and real world applications...
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Statistical mechanics Subjective logic Uncertainty quantification Uncertainty tolerance Volatility, uncertainty, complexity and ambiguity Peter Norvig;...
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Experimental uncertainty analysis Interval finite element Measurement uncertainty Numerical stability Probability bounds analysis Uncertainty quantification Random-fuzzy...
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Quantification of Margins and Uncertainty (QMU) is a decision support methodology for complex technical decisions. QMU focuses on the identification,...
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practice is uncertainty analysis, which has a greater focus on uncertainty quantification and propagation of uncertainty; ideally, uncertainty and sensitivity...
48 KB (5,862 words) - 13:27, 18 June 2024
Uncertainty Uncertainty quantification Random-fuzzy variable JCGM 100:2008. Evaluation of measurement data – Guide to the expression of uncertainty in...
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Least squares (section Uncertainty quantification)
important application is in data fitting. When the problem has substantial uncertainties in the independent variable (the x variable), then simple regression...
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Society for Industrial and Applied Mathematics (redirect from SIAM/ASA Journal on Uncertainty Quantification)
Optimization Orthogonal Polynomials and Special Functions Supercomputing Uncertainty Quantification SIAM publishes 18 research journals: SIAM Journal on Applied Mathematics...
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The uncertainty principle, also known as Heisenberg's indeterminacy principle, is a fundamental concept in quantum mechanics. It states that there is...
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and high-energy density materials. He also actively focuses on uncertainty quantification across the field of materials modelling. He previously served...
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other words, uncertainty analysis aims to make a technical contribution to decision-making through the quantification of uncertainties in the relevant...
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Conformal prediction (CP) is a machine learning framework for uncertainty quantification that produces statistically valid prediction regions (prediction...
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List of American Society of Mechanical Engineers academic journals (redirect from Journal of Verification, Validation and Uncertainty Quantification)
validation, and uncertainty quantification". The ISSN Portal. Retrieved 2024-06-23. "Journal of verification, validation, and uncertainty quantification". The ISSN...
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cross-cultural psychology, uncertainty avoidance is how cultures differ on the amount of tolerance they have of unpredictability. Uncertainty avoidance is one of...
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uncertainty quantification and has been editor of the Handbook of Uncertainty Quantification and the SIAM/ASA Journal on Uncertainty Quantification....
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probabilistic uncertainty in the parameters of a system. In particular, PCE has been used as a surrogate model to facilitate uncertainty quantification analyses...
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optimization, adjoint solvers are now finding more and more use in uncertainty quantification. An adjoint solver allows one to compute the gradient of the quantity...
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simulation, computer experiments are used to perform inference such as uncertainty quantification. A model consists of the equations used to capture the behavior...
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better. Importantly the NLPD assesses the quality of the model's uncertainty quantification. It is used for both regression and classification. To compute:...
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for fluids in complex geometries, general polynomial chaos for uncertainty quantification, and the Sturm-Liouville theory for partial differential equations...
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Fidelity". International Journal for Uncertainty Quantification. 4 (5): 365–386. doi:10.1615/Int.J.UncertaintyQuantification.2014006914. ISSN 2152-5080. S2CID 14157948...
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equations are used in wing shape optimization, fluid flow control and uncertainty quantification. Consider the following linear, scalar advection-diffusion equation...
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Fidelity". International Journal for Uncertainty Quantification. 4 (5): 365–386. doi:10.1615/Int.J.UncertaintyQuantification.2014006914. ISSN 2152-5080. S2CID 14157948...
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gradient. Average-case analysis Information-based complexity Uncertainty quantification Hennig, P.; Osborne, M. A.; Kersting, H. P. (2022). Probabilistic...
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many purposes in mind. Some of those include: Uncertainty quantification: Characterize the uncertainty present in a computer simulation arising from unknowns...
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estimate obtained by the first-order second moment (F.O.S.M.) uncertainty quantification technique which was state of the art in the 1980s. In order for...
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approach to uncertainty quantification with application to supersonic nozzle thrust. International Journal for Uncertainty Quantification 2 (4): 363–81...
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The uncertainty parameter U is introduced by the Minor Planet Center (MPC) to quantify the uncertainty of a perturbed orbital solution for a minor planet...
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h_{\ell }=2^{-\ell }T} . The application of MLMC to problems in uncertainty quantification (UQ) is an active area of research. An important prototypical...
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A.; Nasser, R.; Sampaio, R.; Lopes, H.; Breitman, K. (2014). "Uncertainty quantification through the Monte Carlo method in a cloud computing setting"....
85 KB (9,795 words) - 10:52, 21 June 2024