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

Computer Methods in Applied Mechanics and Engineering

Volumn 198, Issue 41-44, 2009, Pages 3187-3206

  Boyaval, Sébastien ^a,b   Bris, Claude Le ^a,b   Maday, Yvon ^c,d   Nguyen, Ngoc Cuong ^e   Patera, Anthony T ^e  

^a UNIVERSITÉ PARIS EST   (France)

^b INRIA   (France)

^c SORBONNE UNIVERSITÉ   (France)

^d BROWN UNIVERSITY   (United States)

^e Massachusetts Institute of Technology Cambridge   (United States)

Author keywords

A posteriori error estimation; Karhunen Lo ve; Monte Carlo; Reduced basis method; Stochastic parameterized partial differential equations

Indexed keywords

A POSTERIORI ERROR ESTIMATION; DETERMINISTIC SYSTEMS; EFFICIENT SAMPLING; ERROR BOUND; MONTE CARLO; POSTERIORI ESTIMATES; QUERY CONTEXT; RANDOM SOLUTIONS; REDUCED BASIS; REDUCED BASIS METHOD; SMOOTH FUNCTIONALS; STOCHASTIC COEFFICIENTS; STOCHASTIC FRAMEWORK; STOCHASTIC INPUTS; STOCHASTIC PARAMETERIZED PARTIAL DIFFERENTIAL EQUATIONS; STOCHASTIC PARAMETERS; VARIATIONAL PROBLEMS;

COMPUTATIONAL FLUID DYNAMICS; ERROR ANALYSIS; MONTE CARLO METHODS; PARTIAL DIFFERENTIAL EQUATIONS; SAMPLING; STOCHASTIC MODELS;

VARIATIONAL TECHNIQUES;

EID: 69749114337     PISSN: 00457825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cma.2009.05.019     Document Type: Article

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