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Titlebook: Computational Fluid Dynamics on Parallel Systems; Proceedings of a CNR Siegfried Wagner Conference proceedings 1995 Friedr. Vieweg & Sohn V

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Stochastic Calculus for Finance I860 M.I.M.D. massively parallel processors using a second-order accurate Monotonic Upwind Scheme for Conservation Laws (MUSCL) finite volume/finite element method on fully unstructured triangular meshes. We advocate mesh partitioning with message passing as a portable paradigm for parallel processin
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Stochastic optimal control and applicationsres much less computer science knowledge by the programmer than other languages, and it is much easier to use. On the other hand fast object code can be generated, which is very important for scientific, numerical and engineering applications. Therefore, on almost every computer system compilers wit
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Probability and Its Applicationsk-structured non-orthogonal grids and implicit discretization of second order in space and time. Working variables are the cartesian velocity components, pressure, temperature and turbulence quantities, which are all stored at the center of control volumes. Parallelization is achieved by domain deco
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Local time for fractional Brownian motionent combustion modeling very crude assumptions have been formulated to account for the chemical activity. Either, time scales related to chemistry are supposed to be small compared to the relevant time scale of the turbulent flow, or, very reduced and simplified chemical schemes are used.
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Dynamic Load Balancing for Parallel Adaptive Multigrid Methods on Unstructured Meshes, balancing algorithms designed for additive (BPX) and multiplicative multigrid. Both methods will be compared in terms of parallel and numerical efficiency and we also compare uniform with adaptive computation including the overhead introduced by load balancing and load migration.
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