Optimized Schwarz methods with general Ventcell transmission conditions for fully anisotropic diffusion with discrete duality finite volume discretizations

Author:

Gander Martin J.1,Halpern Laurence2,Hubert Florence3,Krell Stella4

Affiliation:

1. University of Geneva , 2-4 rue du Lièvre, CP 64, 1211 Genève , Switzerland .

2. LAGA, Université Sorbonne Paris Nord et CNRS , 93430 Villetaneuse , France .

3. Aix Marseille Univ, CNRS, Centrale Marseille , I2M, Marseille, France, 39 rue F. Joliot Curie, 13453 Marseille, Cedex 13.

4. Université de Nice , Parc Valrose, 28 avenue Valrose, 06108 Nice, Cedex 2 , France .

Abstract

Abstract We introduce a new non-overlapping optimized Schwarz method for fully anisotropic diffusion problems. Optimized Schwarz methods take into account the underlying physical properties of the problem at hand in the transmission conditions, and are thus ideally suited for solving anisotropic diffusion problems. We first study the new method at the continuous level for two subdomains, prove its convergence for general transmission conditions of Ventcell type using energy estimates, and also derive convergence factors to determine the optimal choice of parameters in the transmission conditions. We then derive optimized Robin and Ventcell parameters at the continuous level for fully anisotropic diffusion, both for the case of unbounded and bounded domains. We next present a discretization of the algorithm using discrete duality finite volumes, which are ideally suited for fully anisotropic diffusion on very general meshes. We prove a new convergence result for the discretized optimized Schwarz method with two subdomains using energy estimates for general Ventcell transmission conditions. We finally study the convergence of the new optimized Schwarz method numerically using parameters obtained from the continuous analysis. We find that the predicted optimized parameters work very well in practice, and that for certain anisotropies which we characterize, our new bounded domain analysis is important.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Control and Optimization,Numerical Analysis,Analysis

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