Title
The L2 Norm Error Estimates for the Div Least-Squares Method.
Abstract
This paper studies L-2 norm error estimates for the div least-squares method for which the associated homogeneous least-squares functional is equivalent to the H(div) x H-1 norm for the respective dual and primal variables. Least-squares of this type for the second-order elliptic equations, elasticity, and the Stokes equations are an active area of research, and error estimates in the H(div) x H-1 norm were previously established. In this paper, we establish optimal L-2 norm error estimates for the primal variable under the minimum regularity requirement through a refined duality argument.
Year
DOI
Venue
2006
10.1137/050636504
SIAM JOURNAL ON NUMERICAL ANALYSIS
Keywords
DocType
Volume
least-squares method,error estimate,elliptic equations,elasticity,Stokes,incompressible Newtonian flow
Journal
44
Issue
ISSN
Citations 
4
0036-1429
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
zhiqiang cai134478.81
JaEun Ku2146.30