EconPapers    
Economics at your fingertips  
 

A Posteriori Estimation of Dimension Reduction Errors

Sergey Repin (), Stefan Sauter () and Anton Smolianski ()
Additional contact information
Sergey Repin: V.A. Steklov Institute of Mathematics
Stefan Sauter: Zurich University, Institute of Mathematics
Anton Smolianski: Zurich University, Institute of Mathematics

A chapter in Numerical Mathematics and Advanced Applications, 2004, pp 716-725 from Springer

Abstract: Summary A new a-posteriori error estimator is presented for the verification of the dimensionally reduced models stemming from the elliptic problems on thin domains. The original problem is considered in a general setting, without any specific assumptions on the domain geometry, coefficients and the right-hand sides. The estimator provides a guaranteed upper bound for the modelling error in the energy norm, exhibits the optimal convergence rate as the domain thickness tends to zero and accurately indicates the local error distribution.

Keywords: Elliptic Problem; Posteriori Error; Energy Norm; Posteriori Error Estimation; Dimensional Reduction Method (search for similar items in EconPapers)
Date: 2004
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-18775-9_70

Ordering information: This item can be ordered from
http://www.springer.com/9783642187759

DOI: 10.1007/978-3-642-18775-9_70

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-05-20
Handle: RePEc:spr:sprchp:978-3-642-18775-9_70