MAE Publications and Papers

Sibley School of Mechanical and Aerospace Engineering

Posts Tagged: generalized polynomial chaos

HomePosts Tagged "generalized polynomial chaos"

Tag Archives: generalized polynomial chaos

New article: Multidimensional Adaptive Relevance Vector Machines for Uncertainty Quantification

Article: Bilionis I and Zabaras N (2012). “Multidimensional Adaptive Relevance Vector Machines for Uncertainty Quantification.” Siam Journal on Scientific Computing 34(6): B881-B908. DOI Abstract: We develop a Bayesian uncertainty quantification framework using a local ...
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December 13, 2012Uncategorizedadaptivity, efficient, elliptic problems, flow, generalized polynomial chaos, heterogeneous porous-media, models, multioutput, probabilistic collocation method, random input data, relevance vector machine, sparse bayesian learning, sparse grids, stochastic differential-equations, uncertainty quantification

New article: Multi-output local Gaussian process regression: Applications to uncertainty quantification

Article: Bilionis I and Zabaras N (2012). “Multi-output local Gaussian process regression: Applications to uncertainty quantification.” Journal of Computational Physics 231(17): 5718-5746. DOI Abstract: We develop an efficient, Bayesian Uncertainty Quantification framework using a ...
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July 15, 2012Uncategorizedadaptivity, bayesian, collocation method, design, gaussian process, generalized polynomial chaos, models, multi-element, multi-output, random input data, stochastic differential-equations, stochastic partial differential equations, uncertainty quantification

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MAE Publications and Papers

Sibley School of Mechanical and Aerospace Engineering

Posts Tagged: generalized polynomial chaos