Two domain decomposition methods for solving vector field problems posed in H(curl) and discretized with Nedelec finite elements are considered. These finite elements are conforming in H(curl). A two-level overlapping Schwarz algorithm in two dimensions is analyzed, where the subdomains are only assumed to be uniform in the sense of Peter Jones. The coarse space is based on energy minimization and its dimension equals the number of interior subdomain edges. Local direct solvers are based on the overlapping subdomains. The bound for the condition number depends only on a few geometric parameters of the decomposition. This bound is independent of jumps in the coefficients across the interface between the subdomains for most of the different c...
We develop and analyze P Lagrange finite element methods for a quad-curl problem on planar domains ...
Abstract. We develop several new domain decomposition methods for solving large scale systems of sym...
To my family. iv Acknowledgements First, my deepest gratitude goes to my advisor Olof Widlund. I tha...
Abstract. A bound is obtained for the condition number of a two-level overlapping Schwarz algorithm ...
Abstract. A bound is obtained for the condition number of a BDDC algorithm for problems posed in H(c...
A bound is obtained for the condition number of a BDDC algorithm for problems posed in H(curl) in tw...
A bound is obtained for the condition number of a two-level overlapping Schwarz algorithm for proble...
A new coarse space for a two-level overlapping Schwarz algorithm is presented for problems posed in ...
A new coarse space for domain decomposition methods is presented for nodal ellipticproblems in two d...
A new extension operator for a virtual coarse space is presented which can be used in domain decompo...
In this work, we present scalable balancing domain decomposition by constraints methods for linear s...
In this paper, we formulate and analyze a perturbed formulation of the balancing domain decompositio...
. The Neumann-Neumann algorithm is known to be an efficient domain decomposition preconditioner with...
Abstract. In this paper, we present and analyze a BDDC algorithm for a class of elliptic problems in...
. The rate of convergence of the Balancing Domain Decomposition method applied to the mixed finite e...
We develop and analyze P Lagrange finite element methods for a quad-curl problem on planar domains ...
Abstract. We develop several new domain decomposition methods for solving large scale systems of sym...
To my family. iv Acknowledgements First, my deepest gratitude goes to my advisor Olof Widlund. I tha...
Abstract. A bound is obtained for the condition number of a two-level overlapping Schwarz algorithm ...
Abstract. A bound is obtained for the condition number of a BDDC algorithm for problems posed in H(c...
A bound is obtained for the condition number of a BDDC algorithm for problems posed in H(curl) in tw...
A bound is obtained for the condition number of a two-level overlapping Schwarz algorithm for proble...
A new coarse space for a two-level overlapping Schwarz algorithm is presented for problems posed in ...
A new coarse space for domain decomposition methods is presented for nodal ellipticproblems in two d...
A new extension operator for a virtual coarse space is presented which can be used in domain decompo...
In this work, we present scalable balancing domain decomposition by constraints methods for linear s...
In this paper, we formulate and analyze a perturbed formulation of the balancing domain decompositio...
. The Neumann-Neumann algorithm is known to be an efficient domain decomposition preconditioner with...
Abstract. In this paper, we present and analyze a BDDC algorithm for a class of elliptic problems in...
. The rate of convergence of the Balancing Domain Decomposition method applied to the mixed finite e...
We develop and analyze P Lagrange finite element methods for a quad-curl problem on planar domains ...
Abstract. We develop several new domain decomposition methods for solving large scale systems of sym...
To my family. iv Acknowledgements First, my deepest gratitude goes to my advisor Olof Widlund. I tha...