date: 2016-01-12T15:01:50Z
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pdf:docinfo:title: Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format
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subject: SIAM/ASA J. Uncertainty Quantification 2015.3:1109-1135
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dc:title: Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format
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cp:subject: SIAM/ASA J. Uncertainty Quantification 2015.3:1109-1135
pdf:docinfo:subject: SIAM/ASA J. Uncertainty Quantification 2015.3:1109-1135
pdf:docinfo:creator: Sergey Dolgov, Boris N. Khoromskij, Alexander Litvinenko, and Hermann G. Matthies
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Creation-Date: 2015-11-03T14:55:39Z
Author: Sergey Dolgov, Boris N. Khoromskij, Alexander Litvinenko, and Hermann G. Matthies
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dc:description: SIAM/ASA J. Uncertainty Quantification 2015.3:1109-1135
Keywords: uncertainty quantification,polynomial chaos expansion,Karhunen--Loève expansion,stochastic Galerkin,tensor product methods,tensor train format,adaptive cross approximation,block cross
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dc:creator: Sergey Dolgov, Boris N. Khoromskij, Alexander Litvinenko, and Hermann G. Matthies
description: SIAM/ASA J. Uncertainty Quantification 2015.3:1109-1135
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Last-Modified: 2016-01-12T15:01:50Z
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title: Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format
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creator: Sergey Dolgov, Boris N. Khoromskij, Alexander Litvinenko, and Hermann G. Matthies
dc:subject: uncertainty quantification,polynomial chaos expansion,Karhunen--Loève expansion,stochastic Galerkin,tensor product methods,tensor train format,adaptive cross approximation,block cross
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