Coarse grid correction is a key ingredient in order to have scalable domain decomposition methods. In this work we construct the coarse grid space using the low frequency modes of the subdomain DtN maps, and apply the obtained two-level preconditioner (the additive Schwarz method together with the new coarse grid) to the extended or the original linear system arising from an overlapping domain decomposition. Our method is suitable for the parallel implementation and its efficiency is demonstrated by numerical examples on problems with high heterogeneities for both manual and automatic partitionings
Nonlinear domain decomposition (DD) methods, such as, e.g., ASPIN (Additive Schwarz Preconditioned I...
The convergence rate of domain decomposition methods is generally determined by the eigenvalues of t...
International audienceIn this paper we present a class of robust and fully algebraic two-level preco...
Coarse grid correction is a key ingredient in order to have scalable domain decomposition methods. I...
Coarse-grid correction is a key ingredient of scalable domain decomposition methods. In this work we...
International audienceCoarse grid correction is a key ingredient in order to have scalable domain de...
Coarse grid correction is a key ingredient in order to have scalable domain decomposition methods. I...
We explain in this paper why continuous coarse spaces are a suboptimal choice for domain decompositi...
In this paper, we are interested in scalable Domain Decomposition Methods (DDM). To this end, we int...
In this paper, we are interested in scalable Domain Decomposition Methods (DDM). To this e...
In this paper, we introduce a new coarse space algorithm, the ''Discontinuous Coarse Space Robin Jum...
In this paper, we are interested in scalable Domain Decomposition Methods (DDM). To this end, we int...
International audienceIn this presentation, we explain why continuous coarse spaces are a suboptimal...
As many DD methods the two level Additive Schwarz method may suffer from a lack of robustness with r...
Two-level domain decomposition preconditioners lead to fast convergence and scalability of iterative...
Nonlinear domain decomposition (DD) methods, such as, e.g., ASPIN (Additive Schwarz Preconditioned I...
The convergence rate of domain decomposition methods is generally determined by the eigenvalues of t...
International audienceIn this paper we present a class of robust and fully algebraic two-level preco...
Coarse grid correction is a key ingredient in order to have scalable domain decomposition methods. I...
Coarse-grid correction is a key ingredient of scalable domain decomposition methods. In this work we...
International audienceCoarse grid correction is a key ingredient in order to have scalable domain de...
Coarse grid correction is a key ingredient in order to have scalable domain decomposition methods. I...
We explain in this paper why continuous coarse spaces are a suboptimal choice for domain decompositi...
In this paper, we are interested in scalable Domain Decomposition Methods (DDM). To this end, we int...
In this paper, we are interested in scalable Domain Decomposition Methods (DDM). To this e...
In this paper, we introduce a new coarse space algorithm, the ''Discontinuous Coarse Space Robin Jum...
In this paper, we are interested in scalable Domain Decomposition Methods (DDM). To this end, we int...
International audienceIn this presentation, we explain why continuous coarse spaces are a suboptimal...
As many DD methods the two level Additive Schwarz method may suffer from a lack of robustness with r...
Two-level domain decomposition preconditioners lead to fast convergence and scalability of iterative...
Nonlinear domain decomposition (DD) methods, such as, e.g., ASPIN (Additive Schwarz Preconditioned I...
The convergence rate of domain decomposition methods is generally determined by the eigenvalues of t...
International audienceIn this paper we present a class of robust and fully algebraic two-level preco...