A reduced basis approach for variational problems with stochastic parameters: Application to heat conduction with variable Robin coefficient

A reduced basis approach for variational problems with stochastic parameters: Application to heat conduction with variable Robin coefficient

In this work, a Reduced Basis (RB) approach is used to solve a large number of boundary value problems parametrized by a stochastic input - expressed as a Karhunen-Loève expansion - in order to compute outputs that are smooth functionals of the random solution fields. The RB method proposed here fo...

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Bibliographic Details
Main Authors: Bris, Claude Le (Author), Maday, Yvon (Author), Nguyen, Ngoc Cuong (Contributor), Patera, Anthony T. (Contributor), Boyaval, Sebastien (Author)
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor), Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
Format: Article
Language:English
Published: Elsevier, 2015-10-16T13:09:02Z.
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