Asymptotic Expansions and L...-Error Estimates for Mixed Finite Element Methods for Second Order Elliptic Problems.
Junping Wang (1987)
Numerische Mathematik
Similarity:
Junping Wang (1987)
Numerische Mathematik
Similarity:
Aihui Zhou (1999)
ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique
Similarity:
Jan Brandts (1999)
Applications of Mathematics
Similarity:
We will investigate the possibility to use superconvergence results for the mixed finite element discretizations of some time-dependent partial differential equations in the construction of a posteriori error estimators. Since essentially the same approach can be followed in two space dimensions, we will, for simplicity, consider a model problem in one space dimension.
Christine Bernardi, Frédéric Hecht (2010)
ESAIM: Mathematical Modelling and Numerical Analysis
Similarity:
For the Stokes problem in a two- or three-dimensional bounded domain, we propose a new mixed finite element discretization which relies on a nonconforming approximation of the velocity and a more accurate approximation of the pressure. We prove that the velocity and pressure discrete spaces are compatible, in the sense that they satisfy an inf-sup condition of Babuška and Brezzi type, and we derive some error estimates.
Franco Brezzi, Jim, Jr. Douglas (1988)
Numerische Mathematik
Similarity:
Mohamed Farhloul, Serge Nicaise, Luc Paquet (2010)
ESAIM: Mathematical Modelling and Numerical Analysis
Similarity:
The paper deals with some mixed finite element methods on a class of anisotropic meshes based on tetrahedra and prismatic (pentahedral) elements. Anisotropic local interpolation error estimates are derived in some anisotropic weighted Sobolev spaces. As particular applications, the numerical approximation by mixed methods of the Laplace equation in domains with edges is investigated where anisotropic finite element meshes are appropriate. Optimal error estimates are obtained using...
P.M. Hanson, J.E. Walsh (1984)
Numerische Mathematik
Similarity: