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  4. A successive constraint linear optimization method for lower bounds of parametric coercivity and inf-sup stability constants
 
research article

A successive constraint linear optimization method for lower bounds of parametric coercivity and inf-sup stability constants

Huynh, D. B. Phuong
•
Rozza, Gianluigi  
•
Sen, Sugata
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2007
C. R. Math. Acad. Sci. Paris

We present an approach to the construction of lower bounds for the coercivity and inf–sup stability constants required in a posteriori error analysis of reduced basis approximations to affinely parametrized partial differential equations. The method, based on an Offline–Online strategy relevant in the reduced basis many-query and real-time context, reduces the Online calculation to a small Linear Program: the objective is a parametric expansion of the underlying Rayleigh quotient; the constraints reflect stability information at optimally selected parameter points. Numerical results are presented for coercive elasticity and non-coercive acoustics Helmholtz problems.

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Type
research article
DOI
10.1016/j.crma.2007.09.019
Author(s)
Huynh, D. B. Phuong
Rozza, Gianluigi  
Sen, Sugata
Patera, Anthony T.  
Date Issued

2007

Published in
C. R. Math. Acad. Sci. Paris
Volume

345

Issue

8

Start page

473

End page

478

Subjects

reduced basis methods

•

linear programming

•

coercivity stability constant

•

inf-sup stability constant

•

affine parametrization of PDEs

•

Galerkin method

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
CMCS  
Available on Infoscience
May 19, 2008
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/25838
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