An '$hp$' Certified Reduced Basis Method for Parametrized Elliptic Partial Differential Equations
Autor: | Jens L. Eftang, Anthony T. Patera, Einar M. Rønquist |
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Rok vydání: | 2010 |
Předmět: | |
Zdroj: | SIAM Journal on Scientific Computing. 32:3170-3200 |
ISSN: | 1095-7197 1064-8275 |
DOI: | 10.1137/090780122 |
Popis: | We present a new “$hp$” parameter multidomain certified reduced basis (RB) method for rapid and reliable online evaluation of functional outputs associated with parametrized elliptic partial differential equations. We propose, and provide theoretical justification for, a new procedure for adaptive partition (“$h$”-refinement) of the parameter domain into smaller parameter subdomains: we pursue a hierarchical splitting of the parameter (sub)domains based on proximity to judiciously chosen parameter anchor points within each subdomain. Subsequently, we construct individual standard RB approximation spaces (“$p$”-refinement) over each subdomain. Greedy parameter sampling procedures and a posteriori error estimation play important roles in both the “$h$”-type and “$p$”-type stages of the new algorithm. We present illustrative numerical results for a convection-diffusion problem: the new “$hp$”-approach is considerably faster (respectively, more costly) than the standard “$p$”-type reduced basis method in the online (respectively, offline) stage. |
Databáze: | OpenAIRE |
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