Abstract:Summary. We study optimized Schwarz methods for the stationary advectiondiffusion equation in two dimensions. We look at simple Robin transmission conditions, with one free parameter. In the nonoverlapping case, we solve exactly the associated min-max problem to get a direct formula for the optimized parameter. In the overlapping situation, we solve only an approximate min-max problem. The asymptotic performance of the resulting methods, for small mesh sizes, is derived. Numerical experiments illustrate the im… Show more
“…Differently from what is done in [12], we do not have an explicit formula linking the real part and the imaginary part of the eigenvalues of the matrices Λ j D −1 , j = 1, 2, and we cannot solve the optimization problem (5.1) analytically. Let…”
In this paper we consider unsymmetric elliptic problems of advection-diffusion-reaction type, with strongly heterogeneous and anisotropic diffusion coefficients. We use non-overlapping Optimized Schwarz Methods (OSM) and we study new interface conditions where only one or two real parameters have to be chosen along the entire interface. Using one real parameter it is possible to design interface conditions of Robin type, whereas the use of two real parameters and of more general interface conditions allows to better take into account the heterogeneities of the medium. The analysis is made at the semi-discrete level, where the equation is discretized in the direction parallel to the interface, and kept continuous in the normal direction. Numerical results are given to validate the proposed interface conditions.
“…Differently from what is done in [12], we do not have an explicit formula linking the real part and the imaginary part of the eigenvalues of the matrices Λ j D −1 , j = 1, 2, and we cannot solve the optimization problem (5.1) analytically. Let…”
In this paper we consider unsymmetric elliptic problems of advection-diffusion-reaction type, with strongly heterogeneous and anisotropic diffusion coefficients. We use non-overlapping Optimized Schwarz Methods (OSM) and we study new interface conditions where only one or two real parameters have to be chosen along the entire interface. Using one real parameter it is possible to design interface conditions of Robin type, whereas the use of two real parameters and of more general interface conditions allows to better take into account the heterogeneities of the medium. The analysis is made at the semi-discrete level, where the equation is discretized in the direction parallel to the interface, and kept continuous in the normal direction. Numerical results are given to validate the proposed interface conditions.
“…Since Optimized Schwarz Methods do not require overlap to converge, they have become quite popular in the last decade, and are a natural framework to deal with a spatial decomposition of the domain driven by a multi-physics problem (see Gerardo-Giorda et al (2010)). Although in general Optimized Schwarz methods based on one-sided interface conditions (α f = α p ) have been extensively used along the years (see, e.g., Lions (1990); Gander (2006); Japhet et al (2001); Collino et al (1997)), the use of two-sided interface condition (α f = α p ) has recently become increasingly popular due to better convergence properties of the associated algorithms, see Alonso-Rodriguez & Gerardo-Giorda (2006); Dolean et al (2009);Dubois (2007); Gander et al (2007);Gerardo-Giorda & Perego (2013). Since such parameters are in general obtained by suitable approximations of the symbols in the Fourier space of the Steklov-Poincaré operator (or Dirichlet-to-Neumann mapping) associated to the problem within the subdomain (Gander (2006)), the two-sided interface conditions are a natural choice in the presence of multi-physics problems where different problems have to be solved in different regions of the computational domain (Gerardo-Giorda et al (2010).…”
Section: Formulation Of the Robin-robin Methodsmentioning
[Received on ; revised on ]This paper studies Optimized Schwarz methods for the Stokes-Darcy problem. Robin transmission conditions are introduced and the coupled problem is reduced to a suitable interface system that can be solved using Krylov methods. Practical strategies to compute optimal Robin coefficients are proposed which take into account both the physical parameters of the problem and the mesh size. Numerical results show the effectiveness of our approach.
“…Let us consider the Robin Robin Schwarz algorithm [13,12,11] with Robin coefficients β rock ≥ 0 and β ff ≥ 0, β rock β ff = 0, which updates the temperatures (T n−1 ff , T n−1 wall , T n−1 rock ) at iteration n − 1 ≥ 0 by the temperatures (T n ff , T n wall , T n rock ). They are defined by the solution T n rock of the following rock subproblem with Robin condition at the well boundary:…”
Section: Robin Robin Optimized Schwarz Algorithmmentioning
confidence: 99%
“…The convergence rate of domain decomposition methods depends crucially on the boundary conditions applied at the interface between both subdomains. In this work, we investigate Robin-Robin optimized Schwarz domain decomposition methods based on Robin boundary conditions for both subproblems [20,13,12,11]. It will be compared with the more usual Dirichlet Neumann domain decomposition algorithm based on a Dirichlet boundary condition on the rock mass subproblem combined with a Neumann boundary condition on the well subproblem.…”
This paper focuses on the modelling of heat transfer between fluid flowing in a well and the surrounding rock mass and proposes an efficient domain decomposition approach to solve this problem. The importance of such a method is illustrated by the study of the modelling of underground gas storage in salt caverns.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.