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

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 adapti...

Full description

Bibliographic Details
Main Authors: Eftang, Jens L. (Author), Patera, Anthony T. (Contributor), Ronquist, Einar M. (Author)
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
Format: Article
Language:English
Published: Society for Industrial and Applied Mathematics, 2010-09-03T20:43:14Z.
Subjects:
Online Access:Get fulltext
LEADER 02022 am a22002293u 4500
001 58468
042 |a dc 
100 1 0 |a Eftang, Jens L.  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Mechanical Engineering  |e contributor 
100 1 0 |a Patera, Anthony T.  |e contributor 
100 1 0 |a Patera, Anthony T.  |e contributor 
700 1 0 |a Patera, Anthony T.  |e author 
700 1 0 |a Ronquist, Einar M.  |e author 
245 0 0 |a An "hp" Certified Reduced Basis Method for Parametrized Elliptic Partial Differential Equations 
260 |b Society for Industrial and Applied Mathematics,   |c 2010-09-03T20:43:14Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/58468 
520 |a 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. 
520 |a Norges teknisk-naturvitenskapelige universitet 
520 |a United States. Air Force Office of Scientific Research (Grant number FA 9550-07-1-0425 and OSD/AFOSR Grant number FA 9550-09-1-0613) 
546 |a en_US 
655 7 |a Article 
773 |t SIAM Journal on Scientific Computing