Title
The Discrete First-Order System Least Squares: The Second-Order Elliptic Boundary Value Problem
Abstract
In [Z. Cai, T. Manteuffel, and S. F. McCormick, SIAM J. Numer. Anal., 34 (1997), pp. 425--454], an L2-norm version of first-order system least squares (FOSLS) was developed for scalar second-order elliptic partial differential equations. A limitation of this approach is the requirement of sufficient smoothness of the original problem, which is used for the equivalence of spaces between (H1)d and $H(\div)\cap H({\rm curl})$-type, where d=2 or 3 is the dimension. By directly approximating $H(\div)\cap H({\rm curl})$-type space based on the Helmholtz decomposition, this paper develops a discrete FOSLS approach in two dimensions. Under general assumptions, we establish error estimates in the L2 and H1 norms for the vector and scalar variables, respectively. Such error estimates are optimal with respect to the required regularity of the solution. A preconditioner for the algebraic system arising from this approach is also considered.
Year
DOI
Venue
2002
10.1137/S0036142900381886
SIAM J. Numerical Analysis
Keywords
Field
DocType
discrete first-order system,cap h,algebraic system,error estimate,type space,l2-norm version,helmholtz decomposition,scalar variable,first-order system,h1 norm,second-order elliptic boundary value,discrete fosls approach,preconditioner,multigrid,two dimensions,elliptic boundary value problem
Least squares,Mathematical optimization,Helmholtz decomposition,Elliptic partial differential equation,Partial differential equation,Curl (mathematics),Elliptic curve,Mathematics,Multigrid method,Elliptic boundary value problem
Journal
Volume
Issue
ISSN
40
1
0036-1429
Citations 
PageRank 
References 
2
0.52
3
Authors
2
Name
Order
Citations
PageRank
zhiqiang cai134478.81
Byeong Chun Shin272.56