AbstractA single-level multigrid algorithm is developed in which coarse-grid correction is performed on the fine grid. This negates the need for coarse grid storage allocation resulting in easy programmability. The algorithm differs from unigrid in that it mimics multigrid V(0, v) cycles which effectively overcomes the inefficiency of the unigrid technique. The single-level algorithm is therefore both easy to program and efficient. It is illustrated by two numerical examples and compared with unigrid and conventional multigrid
AbstractBuilding blocks yielding an efficient implementation of the odd–even multigrid method for th...
Multi-grid methods are numerical algorithms used in parallel and distributed processing. The main id...
Multigrid convergence rates degenerate on problems with stretched grids or anisotropic operators, un...
AbstractA single-level multigrid algorithm is developed in which coarse-grid correction is performed...
The parallel multigrid algorithm of Frederickson and McBryan (1987) is considered. This algorithm us...
Caption title.Includes bibliographical references (p. 14).Research supported by the NSF. ECS-8552419...
The convergence rate of standard multigrid algorithms degenerates on problems with stretched grids o...
Multigrid efficiency often suffers from inadequate coarse grid correction in different prototypic si...
Multigrid methods can be formulated as an algorithm for an abstract problem that is independent of t...
A FORTRAN subroutine MLTGRD is provided to solve efficiently the large systems of linear equations ...
The solution of the singular perturbation problem by a multigrid algorithm is considered. Theoretica...
The multilevel (multigrid) adaptive technique, a general strategy of solving continuous problems by ...
AbstractThe multigrid W-cycle for the solution of sparse linear systems implemented with Galerkin sc...
In this work the compressible Euler equations are solved using finite volume techniques on unstructu...
To take full advantage of the parallelism in a standard multigrid algorithm requires as many process...
AbstractBuilding blocks yielding an efficient implementation of the odd–even multigrid method for th...
Multi-grid methods are numerical algorithms used in parallel and distributed processing. The main id...
Multigrid convergence rates degenerate on problems with stretched grids or anisotropic operators, un...
AbstractA single-level multigrid algorithm is developed in which coarse-grid correction is performed...
The parallel multigrid algorithm of Frederickson and McBryan (1987) is considered. This algorithm us...
Caption title.Includes bibliographical references (p. 14).Research supported by the NSF. ECS-8552419...
The convergence rate of standard multigrid algorithms degenerates on problems with stretched grids o...
Multigrid efficiency often suffers from inadequate coarse grid correction in different prototypic si...
Multigrid methods can be formulated as an algorithm for an abstract problem that is independent of t...
A FORTRAN subroutine MLTGRD is provided to solve efficiently the large systems of linear equations ...
The solution of the singular perturbation problem by a multigrid algorithm is considered. Theoretica...
The multilevel (multigrid) adaptive technique, a general strategy of solving continuous problems by ...
AbstractThe multigrid W-cycle for the solution of sparse linear systems implemented with Galerkin sc...
In this work the compressible Euler equations are solved using finite volume techniques on unstructu...
To take full advantage of the parallelism in a standard multigrid algorithm requires as many process...
AbstractBuilding blocks yielding an efficient implementation of the odd–even multigrid method for th...
Multi-grid methods are numerical algorithms used in parallel and distributed processing. The main id...
Multigrid convergence rates degenerate on problems with stretched grids or anisotropic operators, un...