Volume 41, Number 3, May-June 2007
|Page(s)||575 - 605|
|Published online||02 August 2007|
Efficient reduced-basis treatment of nonaffine and nonlinear partial differential equations
Massachusetts Institute of Technology, Room
3-264, Cambridge, MA, USA.
2 Université Pierre et Marie Curie-Paris6, UMR 7598 Laboratoire Jacques-Louis Lions, B.C. 187, 75005 Paris, France. firstname.lastname@example.org
3 Division of Applied Mathematics, Brown University.
4 Massachusetts Institute of Technology, Room 37-435, Cambridge, MA, USA.
5 Massachusetts Institute of Technology, Room 3-266, Cambridge, MA, USA.
Revised: 1 November 2006
In this paper, we extend the reduced-basis approximations developed earlier for linear elliptic and parabolic partial differential equations with affine parameter dependence to problems involving (a) nonaffine dependence on the parameter, and (b) nonlinear dependence on the field variable. The method replaces the nonaffine and nonlinear terms with a coefficient function approximation which then permits an efficient offline-online computational decomposition. We first review the coefficient function approximation procedure: the essential ingredients are (i) a good collateral reduced-basis approximation space, and (ii) a stable and inexpensive interpolation procedure. We then apply this approach to linear nonaffine and nonlinear elliptic and parabolic equations; in each instance, we discuss the reduced-basis approximation and the associated offline-online computational procedures. Numerical results are presented to assess our approach.
Mathematics Subject Classification: 35J25 / 35J60 / 35K15 / 35K55
Key words: Reduced-basis methods / parametrized PDEs / non-affine parameter dependence / offine-online procedures / elliptic PDEs / parabolic PDEs / nonlinear PDEs.
© EDP Sciences, SMAI, 2007
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.