Reduced-basis output bound methods for parabolic problems

被引:39
作者
Rovas, D. V.
Machiels, L.
Maday, Y.
机构
[1] Univ Paris 06, UMR 7598, Lab Jacques Louis Lions, F-75005 Paris, France
[2] Univ Illinois, Dept Mech & Ind Engn, Urbana, IL 61801 USA
[3] McKinsey Corp, Brussels, Belgium
关键词
parabolic partial differential equations; parameter-dependent problem; reduced-basis methods; output bounds; Galerkin approximation; a posteriori error estimation;
D O I
10.1093/imanum/dri044
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we extend reduced-basis output bound methods developed earlier for elliptic problems, to problems described by 'parameterized parabolic' partial differential equations. The essential new ingredient and the novelty of this paper consist in the presence of time in the formulation and solution of the problem. First, without assuming a time discretization, a reduced-basis procedure is presented to 'efficiently' compute accurate approximations to the solution of the parabolic problem and 'relevant' outputs of interest. In addition, we develop an error estimation procedure to 'a posteriori validate' the accuracy of our output predictions. Second, using the discontinuous Galerkin method for the temporal discretization, the reduced-basis method and the output bound procedure are analysed for the semi-discrete case. In both cases the reduced-basis is constructed by taking 'snapshots' of the solution both in time and in the parameters: in that sense the method is close to Proper Orthogonal Decomposition (POD).
引用
收藏
页码:423 / 445
页数:23
相关论文
共 25 条
[1]   AUTOMATIC CHOICE OF GLOBAL SHAPE FUNCTIONS IN STRUCTURAL-ANALYSIS [J].
ALMROTH, BO ;
STERN, P ;
BROGAN, FA .
AIAA JOURNAL, 1978, 16 (05) :525-528
[2]   Parametric families of reduced finite element models. Theory and applications [J].
Balmes, E .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 1996, 10 (04) :381-394
[3]   An 'empirical interpolation' method: application to efficient reduced-basis discretization of partial differential equations [J].
Barrault, M ;
Maday, Y ;
Nguyen, NC ;
Patera, AT .
COMPTES RENDUS MATHEMATIQUE, 2004, 339 (09) :667-672
[4]   EFFICIENT LINEAR CIRCUIT ANALYSIS BY PADE-APPROXIMATION VIA THE LANCZOS PROCESS [J].
FELDMANN, P ;
FREUND, RW .
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 1995, 14 (05) :639-649
[5]  
Giles MB, 2002, ACT NUMERIC, V11, P145, DOI 10.1017/S096249290200003X
[6]  
GREPL M, 2005, THESIS MIT CAMBRIDGE
[7]   A posteriori error bounds for reduced-basis approximations of parametrized parabolic partial differential equations [J].
Grepl, MA ;
Patera, AT .
ESAIM-MATHEMATICAL MODELLING AND NUMERICAL ANALYSIS-MODELISATION MATHEMATIQUE ET ANALYSE NUMERIQUE, 2005, 39 (01) :157-181
[9]  
KARHUNEN K, 1946, ANN ACAD SCI FENN A1, V37, P1
[10]   Dimensional model reduction in non-linear finite element dynamics of solids and structures [J].
Krysl, P ;
Lall, S ;
Marsden, JE .
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2001, 51 (04) :479-504