Geometric Multigrid methods have gained widespread acceptance for solving large systems of linear equations, especially for structured grids. One of the challenges in successfully extending these methods to unstructured grids is the problem of generating an appropriate set of coarse grids. The focus of this paper is the development of robust algorithms, both serial and parallel, for generating a sequence of coarse grids from the original unstructured grid. Our algorithms treat the problem of coarse grid construction as an optimization problem that tries to optimize the overall quality of the resulting fused elements. We solve this problem using the multilevel paradigm that has been very successful in solving the related grid/graph parti...
Abstract. We present two parallel multilevel methods for solving large-scale discretized partial dif...
The Algebraic Multigrid (AMG) method has over the years developed into an ecient tool for solving un...
Many problems based on unstructured grids provide a natural multigrid framework due to using an adap...
Geometric Multigrid methods have gained widespread acceptance for solving large systems of linear eq...
Geometric Multigrid methods have gained widespread acceptance for solving large systems of linear eq...
This paper surveys the techniques that are necessary for constructing compu-tationally ecient parall...
The need to solve linear systems arising from problems posed on extremely large, unstructured grids ...
Summary. Multigrid methods are among the fastest numerical algorithms for the solution of large spar...
The use of multigrid and related preconditioners with the finite element method is often limited by ...
AbstractA single-level multigrid algorithm is developed in which coarse-grid correction is performed...
The need of fast and reliable methods to solve large linear systems of equations is growing rapidly....
. In this paper we discuss different possibilities of using partially ordered sets of grids in multi...
Abstract. Fast, robust and efficient multigrid solvers are a key numer-ical tool in the solution of ...
The solution of elliptic partial differential equations is a common performance bottleneck in scient...
In this paper we discuss different possibilities of using partially ordered sets of grids in multigr...
Abstract. We present two parallel multilevel methods for solving large-scale discretized partial dif...
The Algebraic Multigrid (AMG) method has over the years developed into an ecient tool for solving un...
Many problems based on unstructured grids provide a natural multigrid framework due to using an adap...
Geometric Multigrid methods have gained widespread acceptance for solving large systems of linear eq...
Geometric Multigrid methods have gained widespread acceptance for solving large systems of linear eq...
This paper surveys the techniques that are necessary for constructing compu-tationally ecient parall...
The need to solve linear systems arising from problems posed on extremely large, unstructured grids ...
Summary. Multigrid methods are among the fastest numerical algorithms for the solution of large spar...
The use of multigrid and related preconditioners with the finite element method is often limited by ...
AbstractA single-level multigrid algorithm is developed in which coarse-grid correction is performed...
The need of fast and reliable methods to solve large linear systems of equations is growing rapidly....
. In this paper we discuss different possibilities of using partially ordered sets of grids in multi...
Abstract. Fast, robust and efficient multigrid solvers are a key numer-ical tool in the solution of ...
The solution of elliptic partial differential equations is a common performance bottleneck in scient...
In this paper we discuss different possibilities of using partially ordered sets of grids in multigr...
Abstract. We present two parallel multilevel methods for solving large-scale discretized partial dif...
The Algebraic Multigrid (AMG) method has over the years developed into an ecient tool for solving un...
Many problems based on unstructured grids provide a natural multigrid framework due to using an adap...