EconPapers    
Economics at your fingertips  
 

A Nonlinear Local Projection Stabilization for Convection-Diffusion-Reaction Equations

G. R. Barrenechea (), V. John () and P. Knobloch ()
Additional contact information
G. R. Barrenechea: University of Strathclyde, Department of Mathematics and Statistics
V. John: Weierstrass Institute for Applied Analysis and Stochastics (WIAS)
P. Knobloch: Charles University, Department of Numerical Mathematics,Faculty of Mathematics and Physics

A chapter in Numerical Mathematics and Advanced Applications 2011, 2013, pp 237-245 from Springer

Abstract: Abstract We propose a new local projection stabilization (LPS) finite element method for convection-diffusion-reaction equations. The discretization contains a crosswind diffusion term which depends on the unknown discrete solution in a nonlinear way. Consequently, the resulting method is nonlinear. Solvability of the nonlinear problem is established and an a priori error estimate in the LPS norm is proved. Numerical results show that the nonlinear crosswind diffusion term leads to a reduction of spurious oscillations.

Keywords: Finite Element Method; Interior Vertex; Finite Element Space; Spurious Oscillation; Continuous Piecewise Linear Function (search for similar items in EconPapers)
Date: 2013
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:978-3-642-33134-3_26

Ordering information: This item can be ordered from
http://www.springer.com/9783642331343

DOI: 10.1007/978-3-642-33134-3_26

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 2026-06-01
Handle: RePEc:spr:sprchp:978-3-642-33134-3_26