Summary. We design and study Schwarz Waveform relaxation algorithms for the linear Schrödinger equation with a potential in one dimension. We show that the overlapping algorithm with Dirichlet exchanges of informations on the boundary is slowly convergent, and we introduce two new classes of algorithms: the optimized Robin algorithm and the quasi-optimal algorithm. Numerical results illustrate the great improvement of these methods over the classical algorithm.
The authors develop a new class of waveform relaxation algorithms for large systems of ordinary diff...
We design the first parallel scheme based on Schwarz waveform relaxation methods for the Kolmogorov-...
We introduce nonoverlapping domain decomposition algorithms of Schwarz waveform relaxation type for ...
We design and study Schwarz Waveform relaxation algorithms for the linear Schrödinger equation with ...
International audienceIn this paper, we apply the Schwarz Waveform Relaxation (SWR) method to the on...
International audienceThe aim of this paper is to develop new optimized Schwarz algorithms for the o...
Schwarz waveform relaxation algorithms (SWR) are naturally parallel solvers for evolution partial di...
Schwarz waveform relaxation algorithms (SWR) are naturally parallel solvers for evolution partial di...
This paper is dedicated to the analysis of the rate of convergence of the classical and quasi-optima...
The Schwarz Waveform Relaxation algorithm (SWR) exchanges the waveform of boundary value between nei...
We introduce a non-overlapping variant of the Schwarz waveform relaxation algorithm for semilinear w...
International audienceThe Optimized Schwarz Waveform Relaxation algorithm, a domain decomposition me...
International audienceThis paper deals with two domain decomposition methods for two dimensional lin...
The authors develop a new class of waveform relaxation algorithms for large systems of ordinary diff...
We design the first parallel scheme based on Schwarz waveform relaxation methods for the Kolmogorov-...
We introduce nonoverlapping domain decomposition algorithms of Schwarz waveform relaxation type for ...
We design and study Schwarz Waveform relaxation algorithms for the linear Schrödinger equation with ...
International audienceIn this paper, we apply the Schwarz Waveform Relaxation (SWR) method to the on...
International audienceThe aim of this paper is to develop new optimized Schwarz algorithms for the o...
Schwarz waveform relaxation algorithms (SWR) are naturally parallel solvers for evolution partial di...
Schwarz waveform relaxation algorithms (SWR) are naturally parallel solvers for evolution partial di...
This paper is dedicated to the analysis of the rate of convergence of the classical and quasi-optima...
The Schwarz Waveform Relaxation algorithm (SWR) exchanges the waveform of boundary value between nei...
We introduce a non-overlapping variant of the Schwarz waveform relaxation algorithm for semilinear w...
International audienceThe Optimized Schwarz Waveform Relaxation algorithm, a domain decomposition me...
International audienceThis paper deals with two domain decomposition methods for two dimensional lin...
The authors develop a new class of waveform relaxation algorithms for large systems of ordinary diff...
We design the first parallel scheme based on Schwarz waveform relaxation methods for the Kolmogorov-...
We introduce nonoverlapping domain decomposition algorithms of Schwarz waveform relaxation type for ...