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A generic grid interface for parallel and adaptive scientific computing. Part I: abstract framework

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Abstract

We give a mathematically rigorous definition of a grid for algorithms solving partial differential equations. Unlike previous approaches (Benger 2005, PhD thesis; Berti 2000, PhD thesis), our grids have a hierarchical structure. This makes them suitable for geometric multigrid algorithms and hierarchical local grid refinement. The description is also general enough to include geometrically non-conforming grids. The definitions in this article serve as the basis for an implementation of an abstract grid interface as C++ classes in the framework (Bastian et al. 2008, this issue).

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References

  1. Bastian P, Blatt M, Dedner A, Engwer C, Klöfkorn R, Kornhuber R, Ohlberger M, Sander O (2008) A generic grid interface for parallel and adaptive scientific computing. Part II: Implementation and tests in DUNE. Computing (this issue)

  2. Benger W (2005) Visualization of general relativistic tensor fields via a Fiber Bundle Data Model. PhD thesis, Freie Universität Berlin

  3. Berti G (2000) Generic software components for scientific computing. PhD thesis, BTU Cottbus

  4. Botta N, Ionescu C, Linstead C, Klein R (2006) Structuring distributed relation-based computations with SCDRC. Technical report, PIK Report No. 103, Potsdam Institute for Climate Impact Research

  5. DUNE – Distributed and Unified Numerics Environment. http://dune-project.org/

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Correspondence to P. Bastian.

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Bastian, P., Blatt, M., Dedner, A. et al. A generic grid interface for parallel and adaptive scientific computing. Part I: abstract framework. Computing 82, 103–119 (2008). https://doi.org/10.1007/s00607-008-0003-x

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  • DOI: https://doi.org/10.1007/s00607-008-0003-x

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