Volume 28, Issue 1
Reduced Basis Method for Parametrized Elliptic Advection-Reaction Problems

Luca Dedè

J. Comp. Math., 28 (2010), pp. 122-148.

Published online: 2010-02

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  • Abstract

In this work we consider the Reduced Basis method for the solution of parametrized advection-reaction partial differential equations. For the generation of the basis we adopt a stabilized finite element method and we define the Reduced Basis method in the "primal- dual" formulation for this stabilized problem. We provide a priori Reduced Basis error estimates and we discuss the effects of the finite element approximation on the Reduced Basis error. We propose an adaptive algorithm, based on the a posteriori Reduced Basis error estimate, for the selection of the sample sets upon which the basis are built; the idea leading this algorithm is the minimization of the computational costs associated with the solution of the Reduced Basis problem. Numerical tests demonstrate the efficiency, in terms of computational costs, of the "primal-dual" Reduced Basis approach with respect to an "only primal" one.

  • Keywords

Parametrized advection-reaction partial differential equations Reduced Ba-sis method "primal-dual" reduced basis approach Stabilized finite element method a posteriori error estimation

  • AMS Subject Headings

35J25 35L50 65N15 65N30 76R99.

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COPYRIGHT: © Global Science Press

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@Article{JCM-28-122, author = {}, title = {Reduced Basis Method for Parametrized Elliptic Advection-Reaction Problems}, journal = {Journal of Computational Mathematics}, year = {2010}, volume = {28}, number = {1}, pages = {122--148}, abstract = {

In this work we consider the Reduced Basis method for the solution of parametrized advection-reaction partial differential equations. For the generation of the basis we adopt a stabilized finite element method and we define the Reduced Basis method in the "primal- dual" formulation for this stabilized problem. We provide a priori Reduced Basis error estimates and we discuss the effects of the finite element approximation on the Reduced Basis error. We propose an adaptive algorithm, based on the a posteriori Reduced Basis error estimate, for the selection of the sample sets upon which the basis are built; the idea leading this algorithm is the minimization of the computational costs associated with the solution of the Reduced Basis problem. Numerical tests demonstrate the efficiency, in terms of computational costs, of the "primal-dual" Reduced Basis approach with respect to an "only primal" one.

}, issn = {1991-7139}, doi = {https://doi.org/10.4208/jcm.2009.09-m3015}, url = {http://global-sci.org/intro/article_detail/jcm/8511.html} }
TY - JOUR T1 - Reduced Basis Method for Parametrized Elliptic Advection-Reaction Problems JO - Journal of Computational Mathematics VL - 1 SP - 122 EP - 148 PY - 2010 DA - 2010/02 SN - 28 DO - http://doi.org/10.4208/jcm.2009.09-m3015 UR - https://global-sci.org/intro/article_detail/jcm/8511.html KW - Parametrized advection-reaction partial differential equations KW - Reduced Ba-sis method KW - "primal-dual" reduced basis approach KW - Stabilized finite element method KW - a posteriori error estimation AB -

In this work we consider the Reduced Basis method for the solution of parametrized advection-reaction partial differential equations. For the generation of the basis we adopt a stabilized finite element method and we define the Reduced Basis method in the "primal- dual" formulation for this stabilized problem. We provide a priori Reduced Basis error estimates and we discuss the effects of the finite element approximation on the Reduced Basis error. We propose an adaptive algorithm, based on the a posteriori Reduced Basis error estimate, for the selection of the sample sets upon which the basis are built; the idea leading this algorithm is the minimization of the computational costs associated with the solution of the Reduced Basis problem. Numerical tests demonstrate the efficiency, in terms of computational costs, of the "primal-dual" Reduced Basis approach with respect to an "only primal" one.

Luca Dedè. (2019). Reduced Basis Method for Parametrized Elliptic Advection-Reaction Problems. Journal of Computational Mathematics. 28 (1). 122-148. doi:10.4208/jcm.2009.09-m3015
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