We give a mathematically rigorous definition of a grid for algorithms solving partial differential equations. Unlike previous approaches [2, 3], 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 nonconforming grids. The definitions in this article serve as the basis for an implementation of an abstract grid interface as C++ classes in the DUNE framework [1]
. MENUS-PGG is a problem solving environment (PSE) for developing parallel algorithms that generate ...
We investigate parallel adaptive grid refinement and focus in particular on hierarchically adaptive,...
implementation of a parallel multiscale fluid dynamics solver on octree-like adaptive Cartesian grid
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...
Starting from an abstract mathematical notion of discrete function spaces and operators, we derive a...
In a companion paper (Bastian et al. 2007, this issue) we introduced an abstract definition of a par...
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...
Dune-MMesh is an implementation of the well-developed Dune (Bastian et al., 2021) grid interface tai...
Abstract. Fast, robust and efficient multigrid solvers are a key numer-ical tool in the solution of ...
This lecture is devoted to the parallelization of blockstructured grid solvers for industrial applic...
Abstract. In this paper, a practical coarse-grained distributed paral-lel programming interface for ...
Adapting applications for computational grids requires approaches to develop applications that can e...
. MENUS-PGG is a problem solving environment (PSE) for developing parallel algorithms that generate ...
We investigate parallel adaptive grid refinement and focus in particular on hierarchically adaptive,...
implementation of a parallel multiscale fluid dynamics solver on octree-like adaptive Cartesian grid
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...
Starting from an abstract mathematical notion of discrete function spaces and operators, we derive a...
In a companion paper (Bastian et al. 2007, this issue) we introduced an abstract definition of a par...
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...
Dune-MMesh is an implementation of the well-developed Dune (Bastian et al., 2021) grid interface tai...
Abstract. Fast, robust and efficient multigrid solvers are a key numer-ical tool in the solution of ...
This lecture is devoted to the parallelization of blockstructured grid solvers for industrial applic...
Abstract. In this paper, a practical coarse-grained distributed paral-lel programming interface for ...
Adapting applications for computational grids requires approaches to develop applications that can e...
. MENUS-PGG is a problem solving environment (PSE) for developing parallel algorithms that generate ...
We investigate parallel adaptive grid refinement and focus in particular on hierarchically adaptive,...
implementation of a parallel multiscale fluid dynamics solver on octree-like adaptive Cartesian grid