NDLI: An adaptive LSMFE method for Burgers equations

Content Provider	Springer Nature Link
Author	Gu, Hai ming Li, Hong wei
Copyright Year	2009
Abstract	An adaptive least-squares mixed finite element method for Burgers equations is proposed and analyzed. A posteriori error estimates are obtained that are used to adaptively improve the algorithm. The least-squares functional is locally computed and is used as an effectively calculated a posteriori error estimate.
Starting Page	647
Ending Page	656
Page Count	10
File Format	PDF
ISSN	09655425
Journal	Computational Mathematics and Mathematical Physics
Volume Number	49
Issue Number	4
e-ISSN	15556662
Language	English
Publisher	SP MAIK Nauka/Interperiodica
Publisher Date	2009-04-29
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	adaptive method least-squares mixed finite element method Burgers equations least-squares functional a posteriori error Computational Mathematics and Numerical Analysis
Content Type	Text
Resource Type	Article
Subject	Computational Mathematics

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An adaptive LSMFE method for Burgers equations