Acta Numerica · 2015 · 303 citations · 77 references
Natural SciencesGeophysicsPhysicsComputational Fluid DynamicsFluid DynamicsScientific ComputingFinite Difference MethodsNumerical AnalysisNumerical Methods For Differential EquationsSpectral MethodsBasis FunctionsDistributed MemoryDistributed-memory ArchitecturesFinite Difference DiscretizationFinite Difference SchemesFinite Difference SimulationFinite Difference Solution Of Partial Differential EquationsPartial Differential Equation Solvers
Finite differences provided the first numerical approach that permitted large-scale simulations in many applications areas, such as geophysical fluid dynamics. As accuracy and integration time requirements gradually increased, the focus shifted from finite differences to a variety of different spectral methods. During the last few years, radial basis functions, in particular in their ‘local’ RBF-FD form, have taken the major step from being mostly a curiosity approach for small-scale PDE ‘toy problems’ to becoming a major contender also for very large simulations on advanced distributed memory computer systems. Being entirely mesh-free, RBF-FD discretizations are also particularly easy to implement, even when local refinements are needed. This article gives some background to this development, and highlights some recent results.
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E.J. Kansa · Computers & Mathematics with Applications · 1990 · 2K citations
Natural Sciences, Computational Engineering, Mathematics +16