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  4. An “hp” Certified Reduced Basis Method for Parametrized Elliptic Partial Differential Equations

An “hp” Certified Reduced Basis Method for Parametrized Elliptic Partial Differential Equations

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Author(s)
Eftang, Jens L.
•
Patera, Anthony T.
•
Ronquist, Einar M.
Date Issued
October 2010
Journal
SIAM Journal on Scientific Computing
Publisher
Society for Industrial and Applied Mathematics
Citation
Patera, Anthony T. "An “hp” Certified Reduced Basis Method for Parametrized Elliptic Partial Differential Equations." SIAM Journal on Scientific Computing, 32, pp. 3170-3200 (31 pages).© 2010 Society for Industrial and Applied Mathematics.
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Final published version
Abstract
We present a new “hp” parameter multi-domain certified reduced basis 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.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
http://hdl.handle.net/1721.1/58468
DOI of Published Version
http://dx.doi.org/10.1137/090780122
https://doi.org/10.1137/090780122
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