AbstractThe multigrid W-cycle for the solution of sparse linear systems implemented with Galerkin schemes on the coarse levels is considered. It is shown that the recalculation of the fine-level residual in the middle of the W-cycle is unnecessary since it yields an algorithm which is mathematically equivalent to the one in which such recalculation is not used
In this paper, we present an analysis of a multigrid method for nonsymmetric and/or indefinite ellip...
We consider multigrid type techniques for the numerical solution of large linear systems whose coeff...
summary:An algorithm for using the preconditioned conjugate gradient method to solve a coarse level ...
AbstractThe multigrid W-cycle for the solution of sparse linear systems implemented with Galerkin sc...
In this paper we are interested in the solution by multigrid strategies of multilevel linear systems...
Multigrid methods can be formulated as an algorithm for an abstract problem that is independent of t...
Multigrid methods are highly efficient solution techniques for large sparse linear systems which are...
AbstractA single-level multigrid algorithm is developed in which coarse-grid correction is performed...
When applied to linear systems arising from scalar elliptic partial differential equations, algebra...
Summary. Multigrid methods are among the fastest numerical algorithms for the solution of large spar...
Multigrid methods are often the most efficient approaches for solving the very large linear systems...
The solution of the singular perturbation problem by a multigrid algorithm is considered. Theoretica...
Algebraic multigrid (AMG) solves linear systems based on multigrid principles, but in a way that onl...
Iterative methods for the solution of linear systems are a core component of many scientific softwar...
AbstractIn recent contributions, algebraic multigrid methods have been designed and studied from the...
In this paper, we present an analysis of a multigrid method for nonsymmetric and/or indefinite ellip...
We consider multigrid type techniques for the numerical solution of large linear systems whose coeff...
summary:An algorithm for using the preconditioned conjugate gradient method to solve a coarse level ...
AbstractThe multigrid W-cycle for the solution of sparse linear systems implemented with Galerkin sc...
In this paper we are interested in the solution by multigrid strategies of multilevel linear systems...
Multigrid methods can be formulated as an algorithm for an abstract problem that is independent of t...
Multigrid methods are highly efficient solution techniques for large sparse linear systems which are...
AbstractA single-level multigrid algorithm is developed in which coarse-grid correction is performed...
When applied to linear systems arising from scalar elliptic partial differential equations, algebra...
Summary. Multigrid methods are among the fastest numerical algorithms for the solution of large spar...
Multigrid methods are often the most efficient approaches for solving the very large linear systems...
The solution of the singular perturbation problem by a multigrid algorithm is considered. Theoretica...
Algebraic multigrid (AMG) solves linear systems based on multigrid principles, but in a way that onl...
Iterative methods for the solution of linear systems are a core component of many scientific softwar...
AbstractIn recent contributions, algebraic multigrid methods have been designed and studied from the...
In this paper, we present an analysis of a multigrid method for nonsymmetric and/or indefinite ellip...
We consider multigrid type techniques for the numerical solution of large linear systems whose coeff...
summary:An algorithm for using the preconditioned conjugate gradient method to solve a coarse level ...
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