The vertex space algorithm of Smith is a domain decomposition method for two dimensional elliptic problems based on non-overlapping subregions, in which the reduced Schur complement system on the interface is solved using a generalized block Jacobi type preconditioner, with the blocks corresponding to the vertex space, edges and a coarse grid. In this paper, we describe several variants of this algorithm derived from using two kinds of approximations for the edge and vertex space sub-blocks, one based on Fourier approximation, and another based on an algebraic probing technique in which sparse approximations to these sub-blocks are computed. Our motivation is to improve efficiency of the algorithm without sacrificing the optimal convergence...
A new reduced-dimension adaptive generalized Dryja-Smith-Widlund (GDSW) overlapping Schwarz method f...
The aim of this work is to solve parametrized partial differential equations in computational domain...
We present numerical methods for solving systems of linear equations originated from the discretisat...
In this paper we consider domain decomposition preconditioners based on a vertex-oriented (VO) decom...
A new extension operator for a virtual coarse space is presented which can be used in domain decompo...
. In this paper, we discuss the vertex space domain decomposition method (VSDDM) for solving the alg...
The domain decomposition strategies proposed in this thesis are efficient preconditioning techniques...
A new coarse space for domain decomposition methods is presented for nodal ellipticproblems in two d...
We propose and analyze several block iteration preconditioners for the solution of elliptic problems...
A parallel and scalable domain decomposition method for unstructured and hybrid spectral element dis...
Abstract. The purpose of this paper is to give a unified investigation of a class of nonoverlapping ...
This work addresses the algorithmical aspects of spectral methods for elliptic equations. We focus o...
. Domain decomposition methods provide powerful preconditioners for the iterative solution of the la...
. For nonselfadjoint elliptic boundary value problem which are preconditioned by a substructuring me...
The alternate strip-based substructuring algorithms are efficient preconditioning techniques for the...
A new reduced-dimension adaptive generalized Dryja-Smith-Widlund (GDSW) overlapping Schwarz method f...
The aim of this work is to solve parametrized partial differential equations in computational domain...
We present numerical methods for solving systems of linear equations originated from the discretisat...
In this paper we consider domain decomposition preconditioners based on a vertex-oriented (VO) decom...
A new extension operator for a virtual coarse space is presented which can be used in domain decompo...
. In this paper, we discuss the vertex space domain decomposition method (VSDDM) for solving the alg...
The domain decomposition strategies proposed in this thesis are efficient preconditioning techniques...
A new coarse space for domain decomposition methods is presented for nodal ellipticproblems in two d...
We propose and analyze several block iteration preconditioners for the solution of elliptic problems...
A parallel and scalable domain decomposition method for unstructured and hybrid spectral element dis...
Abstract. The purpose of this paper is to give a unified investigation of a class of nonoverlapping ...
This work addresses the algorithmical aspects of spectral methods for elliptic equations. We focus o...
. Domain decomposition methods provide powerful preconditioners for the iterative solution of the la...
. For nonselfadjoint elliptic boundary value problem which are preconditioned by a substructuring me...
The alternate strip-based substructuring algorithms are efficient preconditioning techniques for the...
A new reduced-dimension adaptive generalized Dryja-Smith-Widlund (GDSW) overlapping Schwarz method f...
The aim of this work is to solve parametrized partial differential equations in computational domain...
We present numerical methods for solving systems of linear equations originated from the discretisat...