EconPapers    
Economics at your fingertips  
 

Superconvergent recovery based error estimators

A.M. Lakhany and J.R. Whiteman

Mathematics and Computers in Simulation (MATCOM), 1999, vol. 50, issue 1, 97-114

Abstract: In this paper use is made of the superconvergence property of the recovered derivatives of piecewise linear finite element solutions of Poisson problems to construct efficient and simple to use error estimators which have the desired property of being asymptotically exact on structured triangulations. These error estimators may be classified into two types; viz, the flux projection estimators and the estimators based on interpolation error bounds. A scheme for the adaptive error control based on the refined global local method of Mao and Sun (Int. J. Numer. Methods Eng. 32, 1991) is introduced and supported by means of a numerical experiment.

Keywords: Finite element method; Gradient recovery; Adaptivity (search for similar items in EconPapers)
Date: 1999
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475499000634
Full text for ScienceDirect subscribers only

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:eee:matcom:v:50:y:1999:i:1:p:97-114

Access Statistics for this article

Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens

More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:matcom:v:50:y:1999:i:1:p:97-114