A new triangular mesh adaptivity algorithm for elliptic PDEs that combines a posteriori error estimation with centroidal Voronoi–Delaunay tessellations of domains in two dimensions is proposed and tested. The ability of the first ingredient to detect local regions of large error and the ability of the second ingredient to generate superior unstructured grids result in a mesh adaptivity algorithm that has several very desirable features, including the following. Errors are very well equidistributed over the triangles; at all levels of refinement, the triangles remain very well shaped, even if the grid size at any particular refinement level, when viewed globally, varies by several orders of magnitude; and the convergence rates achieved are t...
We derive an anisotropic a posteriori error estimate for the adaptive conforming virtual element app...
In this thesis our primary interest is in developing adaptive solution methods for parabolic and ell...
Abstract. Data oscillation is intrinsic information missed by the averaging process associated with ...
A new triangular mesh adaptivity algorithm for elliptic PDEs that combines a posteriori error estima...
A new mesh adaptivity algorithm that combines a posteriori error estimation with bubble-type local m...
International audienceWe devise and study experimentally adaptive strategies driven by a posteriori ...
Adaptive finite element methods (FEMs) have been widely used in applications for over 20 years now. ...
The adaptive mesh techniques applied to the Finite Element Method have continuously been an active ...
Abstract. A new anisotropic mesh adaptation strategy for finite element solution of elliptic differe...
This is a survey on the theory of adaptive finite element methods (AFEM), which are fundamental in m...
In this dissertation, we formulate and implement p- adaptive and hp-adaptive finite element methods ...
We prove an a-posteriori error estimate for an \(hp\)-adaptive discontinuous Galerkin method for the...
We propose a new algorithm for Adaptive Finite Element Methods (AFEMs) based on smoothing iterations...
We prove convergence and optimal complexity of an adaptive finite element algorithm on quadrilateral...
We consider the a posteriori error analysis and hp-adaptation strategies for hp-version interior pen...
We derive an anisotropic a posteriori error estimate for the adaptive conforming virtual element app...
In this thesis our primary interest is in developing adaptive solution methods for parabolic and ell...
Abstract. Data oscillation is intrinsic information missed by the averaging process associated with ...
A new triangular mesh adaptivity algorithm for elliptic PDEs that combines a posteriori error estima...
A new mesh adaptivity algorithm that combines a posteriori error estimation with bubble-type local m...
International audienceWe devise and study experimentally adaptive strategies driven by a posteriori ...
Adaptive finite element methods (FEMs) have been widely used in applications for over 20 years now. ...
The adaptive mesh techniques applied to the Finite Element Method have continuously been an active ...
Abstract. A new anisotropic mesh adaptation strategy for finite element solution of elliptic differe...
This is a survey on the theory of adaptive finite element methods (AFEM), which are fundamental in m...
In this dissertation, we formulate and implement p- adaptive and hp-adaptive finite element methods ...
We prove an a-posteriori error estimate for an \(hp\)-adaptive discontinuous Galerkin method for the...
We propose a new algorithm for Adaptive Finite Element Methods (AFEMs) based on smoothing iterations...
We prove convergence and optimal complexity of an adaptive finite element algorithm on quadrilateral...
We consider the a posteriori error analysis and hp-adaptation strategies for hp-version interior pen...
We derive an anisotropic a posteriori error estimate for the adaptive conforming virtual element app...
In this thesis our primary interest is in developing adaptive solution methods for parabolic and ell...
Abstract. Data oscillation is intrinsic information missed by the averaging process associated with ...