Titlebook: Recent Developments in Domain Decomposition Methods; Luca F. Pavarino,Andrea Toselli Conference proceedings 2002 Springer-Verlag Berlin He

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Balancing Neumann-Neumann Methods for Mixed Approximations of Linear Elasticity, linear elasticity for incompressible and almost incompressible materials as well as composite materials with different Lamé parameters in different parts of the domain. These methods solve iteratively the saddle point Schur complement, resulting from the implicit elimination of the interior degrees

GREG

Partition of Unity Coarse Spaces and Schwarz Methods with Harmonic Overlap,, we consider coarse spaces based on a class of partition of unity (PU) for some domain decomposition methods including the classical overlapping Schwarz method, and the new Schwarz method with harmonic overlap. PU has been used as a very powerful tool in the theoretical analysis of Schwarz type dom

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Wavelet/FEM Coupling by the Mortar Method,n the weak continuity condition with its projection on a suitably chosen auxiliary space. We show how to choose the auxiliary space in such a way that such a technique can be applied for computing the weak continuity constraints arising in the framework of the wavelet/FEM coupling.

FATAL

Non-Conforming , Finite Element Methods for Stokes Problems, primal velocity-pressure variables. Within each subdomain the local approximation is designed using div-stable hp-mixed finite elements. We demonstrate via numerical experiments that the non-conforming method is optimal for various h, p and hp discretizations, including the case of exponential hp c

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A Defect Correction Method for Multi-Scale Problems in Computational Aeroacoustics,ld that account for flow acceleration. On the other hand, these fluctuations travel at the speed of sound in the medium, not as a transported fluid quantity. Due to the above two properties, the Reynolds averaged Navier-Stokes (RANS) equations do not resolve the acoustic fluctuations. This paper dis

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Iterated Frequency Filtering Preconditioners,e elements on a structured grid in dimension . (. ≥ 3), we propose a SPD block ILU preconditioner whose factorized form requires a smaller amount of memory than the original matrix. Moreover, the computing time for the preconditioner solves is linear with respect to the number of unknowns. The preco

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