Two-Grid hp-Adaptive Discontinuous Galerkin Finite Element Methods for Second-Order Quasilinear Elliptic PDEs
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Thu, 01/03/2012 14:00 |
Professor Paul Houston (University of Nottingham) |
Computational Mathematics and Applications |
Gibson Grd floor SR |
In this talk we present an overview of some recent developments concerning the a posteriori error analysis and adaptive mesh design of - and -version discontinuous Galerkin finite element methods for the numerical approximation of second-order quasilinear elliptic boundary value problems. In particular, we consider the derivation of computable bounds on the error measured in terms of an appropriate (mesh-dependent) energy norm in the case when a two-grid approximation is employed. In this setting, the fully nonlinear problem is first computed on a coarse finite element space . The resulting 'coarse' numerical solution is then exploited to provide the necessary data needed to linearise the underlying discretization on the finer space ; thereby, only a linear system of equations is solved on the richer space . Here, an adaptive -refinement algorithm is proposed which automatically selects the local mesh size and local polynomial degrees on both the coarse and fine spaces and , respectively. Numerical experiments confirming the reliability and efficiency of the proposed mesh refinement algorithm are presented. |
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- and
-version discontinuous Galerkin finite element methods for the numerical approximation of second-order quasilinear elliptic boundary value problems. In particular, we consider the derivation of computable bounds on the error measured in terms of an appropriate (mesh-dependent) energy norm in the case when a two-grid approximation is employed. In this setting, the fully nonlinear problem is first computed on a coarse finite element space
. The resulting 'coarse' numerical solution is then exploited to provide the necessary data needed to linearise the underlying discretization on the finer space
; thereby, only a linear system of equations is solved on the richer space