Adaptive spectral tensor-strain decomposition for the construction of surrogate models

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The construction of surrogate models is important as a mean of acceleration in computational methods for uncertainty quantification (UQ). When the forward model is particularly expensive, surrogate models can be used for the forward propagation of uncertainty [4] and the solution of inference problems [5]. An adaptive construction is necessary to meet the prescribed accuracy tolerances with the lowest computational effort.
Original languageEnglish
Publication date2015
Number of pages1
Publication statusPublished - 2015
EventSIAM Conference on Computational Science and Engineering (SIAM CSE 2015) - Salt Lake City, Utah, United States
Duration: 4 Mar 201518 Mar 2015
https://www.siam.org/meetings/cse15/

Conference

ConferenceSIAM Conference on Computational Science and Engineering (SIAM CSE 2015)
CountryUnited States
CitySalt Lake City, Utah
Period04/03/201518/03/2015
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