Discretization of the Helmholtz equation with certain boundary conditions results in structured linear systems which are associated with generating functions. Depending on the type of bound-ary conditions one obtains matrices of a certain class. By solving these systems with normal equations, we have the advantage that the corresponding generating functions are nonnegative, although they have a whole curve of zeros. The multigrid methods we develop are especially designed for structured matrix classes, making heavy use of the associated generating functions. In a previous article [13] , we have extended well-known multigrid methods from the isolated zero case to functions with zero curves. In those methods the whole zero curve is represente...
. An algebraic multigrid algorithm for symmetric, positive definite linear systems is developed base...
This paper presents spectral approaches on staggered grids to extract the solenoidal (i.e. divergenc...
An algebraic multigrid (AMG) with aggregation technique to coarsen is applied to construct a better ...
Multigrid methods are highly efficient solution techniques for large sparse linear systems which are...
In this paper we discuss Multigrid methods for Toeplitz matrices. Then the restriction and prolongat...
When dealing with large linear systems with a prescribed structure, two key ingredients are importan...
Given a multigrid procedure for linear systems with coefficient matrices we discuss the optimality o...
Since the early nineties, there has been a strongly increasing demand for more efficient methods to ...
International audienceIt is well known that multigrid methods are very competitive in solving a wide...
A Helmholtz solver whose convergence is parameter independent can be obtained by combining the shift...
Abstract In this paper we discuss classical sufficient conditions to be satisfied from the grid tran...
Abstract. In this paper we develop a robust multigrid preconditioned Krylov subspace method for the ...
Standard multigrid algorithms have proven ineffective for the solution of discretizations of Helmhol...
Nonlocal problems have been used to model very different applied scientific phenomena which involve ...
. An algebraic multigrid algorithm for symmetric, positive definite linear systems is developed base...
This paper presents spectral approaches on staggered grids to extract the solenoidal (i.e. divergenc...
An algebraic multigrid (AMG) with aggregation technique to coarsen is applied to construct a better ...
Multigrid methods are highly efficient solution techniques for large sparse linear systems which are...
In this paper we discuss Multigrid methods for Toeplitz matrices. Then the restriction and prolongat...
When dealing with large linear systems with a prescribed structure, two key ingredients are importan...
Given a multigrid procedure for linear systems with coefficient matrices we discuss the optimality o...
Since the early nineties, there has been a strongly increasing demand for more efficient methods to ...
International audienceIt is well known that multigrid methods are very competitive in solving a wide...
A Helmholtz solver whose convergence is parameter independent can be obtained by combining the shift...
Abstract In this paper we discuss classical sufficient conditions to be satisfied from the grid tran...
Abstract. In this paper we develop a robust multigrid preconditioned Krylov subspace method for the ...
Standard multigrid algorithms have proven ineffective for the solution of discretizations of Helmhol...
Nonlocal problems have been used to model very different applied scientific phenomena which involve ...
. An algebraic multigrid algorithm for symmetric, positive definite linear systems is developed base...
This paper presents spectral approaches on staggered grids to extract the solenoidal (i.e. divergenc...
An algebraic multigrid (AMG) with aggregation technique to coarsen is applied to construct a better ...