We consider a local optimization technique, where starting from a preliminary version of the grid under consideration, we try to improve the part of the grid that really needs this improvement. When this procedure is performed, the processed grids may result irregular, so a smoothing step must be taken into account. We propose a smoothing approach based on an iterative formula resembling the explicit difference schemes for the heat equation. This is a quite general approach, however to fix the ideas it is described in the context of quadrilateral grid generation and the variational approach is considered as the base method for the solution of planar grid generation. Some numerical experiments are presented to show the efficiency of the pro...
Abstract. Local energy error estimates for the finite element method for el-liptic problems were ori...
In this paper, we introduce two new functionals within the context of the variational grid generatio...
Multigrid methods are known to be efficient preconditioners and solvers for linear systems obtained ...
We consider a local optimization technique, where starting from a preliminary version of the grid un...
AbstractAn algorithm for the generation of quadrilateral grids on planar domains is presented. This ...
A new method of grid generation based on optimization of local grid properties is presented. Equatio...
Local mesh smoothing algorithms have been shown to be effective in repairing distorted elements in a...
An optimization control problem for one-dimensional heat equation is considered. It is solved with u...
textComputational grid optimization, correction, improvement and remeshing techniques have become i...
In this thesis, two basic topics in geometry processing—curve/surface smoothing and reconstruction a...
A robust solver for the elliptic grid generation equations is sought via a numerical study. The syst...
In this paper a local Fourier analysis for multigrid methods on tetrahedral grids is presented. Diff...
Abstract. Automatic finite element mesh generation techniques have become commonly used tools for th...
The behaviour of fluids is studied through the Navier-Stokes equations. Computer models are used to ...
This book is an introduction to structured and unstructured grid methods in scientific computing, ad...
Abstract. Local energy error estimates for the finite element method for el-liptic problems were ori...
In this paper, we introduce two new functionals within the context of the variational grid generatio...
Multigrid methods are known to be efficient preconditioners and solvers for linear systems obtained ...
We consider a local optimization technique, where starting from a preliminary version of the grid un...
AbstractAn algorithm for the generation of quadrilateral grids on planar domains is presented. This ...
A new method of grid generation based on optimization of local grid properties is presented. Equatio...
Local mesh smoothing algorithms have been shown to be effective in repairing distorted elements in a...
An optimization control problem for one-dimensional heat equation is considered. It is solved with u...
textComputational grid optimization, correction, improvement and remeshing techniques have become i...
In this thesis, two basic topics in geometry processing—curve/surface smoothing and reconstruction a...
A robust solver for the elliptic grid generation equations is sought via a numerical study. The syst...
In this paper a local Fourier analysis for multigrid methods on tetrahedral grids is presented. Diff...
Abstract. Automatic finite element mesh generation techniques have become commonly used tools for th...
The behaviour of fluids is studied through the Navier-Stokes equations. Computer models are used to ...
This book is an introduction to structured and unstructured grid methods in scientific computing, ad...
Abstract. Local energy error estimates for the finite element method for el-liptic problems were ori...
In this paper, we introduce two new functionals within the context of the variational grid generatio...
Multigrid methods are known to be efficient preconditioners and solvers for linear systems obtained ...