We give a mathematically rigorous definition of a grid for algorithms solving partial differential equations. Unlike previous approaches (Benger 2005, PhD thesis; Berti 2000, PhD thesis), our grids have a hierarchical structure. This makes them suitable for geometric multigrid algorithms and hierarchical local grid refinement. The description is also general enough to include geometrically non-conforming grids. The definitions in this article serve as the basis for an implementation of an abstract grid interface as C++ classes in the framework (Bastian et al. 2008, this issue)
Abstract. Fast, robust and efficient multigrid solvers are a key numer-ical tool in the solution of ...
The implementation of efficient multigrid preconditioners for elliptic partial differential equation...
Many difficulties encountered in the numerical solution of partial differential equations emanate fr...
We give a mathematically rigorous definition of a grid for algorithms solving partial differential e...
In a companion paper (Bastian et al. 2007, this issue) we introduced an abstract definition of a par...
In a companion paper (Bastian et al. 2007, this issue) we introduced an abstract definition of a par...
In a companion paper (Bastian et al. 2007, this issue) we introduced an abstract definition of a par...
Starting from an abstract mathematical notion of discrete function spaces and operators, we derive a...
This book is an introduction to structured and unstructured grid methods in scientific computing, ad...
Abstract. We present two parallel multilevel methods for solving large-scale discretized partial dif...
Programming non-embarrassingly parallel scientific computing applications such as those involving th...
This lecture is devoted to the parallelization of blockstructured grid solvers for industrial applic...
AbstractIn this paper, we describe an array-based hierarchical mesh generation capability through un...
We investigate parallel adaptive grid refinement and focus in particular on hierarchically adaptive,...
Abstract. Competitive numerical simulation codes solving partial dif-ferential equations have to tap...
Abstract. Fast, robust and efficient multigrid solvers are a key numer-ical tool in the solution of ...
The implementation of efficient multigrid preconditioners for elliptic partial differential equation...
Many difficulties encountered in the numerical solution of partial differential equations emanate fr...
We give a mathematically rigorous definition of a grid for algorithms solving partial differential e...
In a companion paper (Bastian et al. 2007, this issue) we introduced an abstract definition of a par...
In a companion paper (Bastian et al. 2007, this issue) we introduced an abstract definition of a par...
In a companion paper (Bastian et al. 2007, this issue) we introduced an abstract definition of a par...
Starting from an abstract mathematical notion of discrete function spaces and operators, we derive a...
This book is an introduction to structured and unstructured grid methods in scientific computing, ad...
Abstract. We present two parallel multilevel methods for solving large-scale discretized partial dif...
Programming non-embarrassingly parallel scientific computing applications such as those involving th...
This lecture is devoted to the parallelization of blockstructured grid solvers for industrial applic...
AbstractIn this paper, we describe an array-based hierarchical mesh generation capability through un...
We investigate parallel adaptive grid refinement and focus in particular on hierarchically adaptive,...
Abstract. Competitive numerical simulation codes solving partial dif-ferential equations have to tap...
Abstract. Fast, robust and efficient multigrid solvers are a key numer-ical tool in the solution of ...
The implementation of efficient multigrid preconditioners for elliptic partial differential equation...
Many difficulties encountered in the numerical solution of partial differential equations emanate fr...