A new method based on SOM network to generate coarse meshes for overlapping unstructured multigrid algorithm

A new method to generate coarse meshes for overlapping unstructured multigrid algorithm based on self-organizing map (SOM) neural network is presented in this paper. The application of SOM neural network can overcome some limitations of conventional methods and which is designed to pursuit the best...

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Veröffentlicht in:	Applied mathematics and computation Jg. 140; H. 2; S. 353 - 360
Hauptverfasser:	Lu, Hong-qiang, Wu, Yi-zhao, Chen, Song-can
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY Elsevier Inc 10.08.2003 Elsevier
Schlagworte:	Calculus of variations and optimal control Exact sciences and technology Fluid dynamics Fundamental areas of phenomenology (including applications) Laminar flows Low-reynolds-number (creeping) flows Mathematical analysis Mathematics Mesh generation Nonlinear algebraic and transcendental equations Numerical analysis Numerical analysis. Scientific computation Numerical approximation Optimization Overlapping unstructured multigrid Physics Sciences and techniques of general use SOM network SOM network Overlapping unstructured multigrid Optimization Mesh generation Convergence of numerical methods Three-dimensional calculations Grid pattern Fluid dynamics Numerical method Overlap Window function Grids Finite element method Selforganizing map Algorithms Self organization Multigrid Neural networks Two-dimensional calculations Mesh method Learning algorithm
ISSN:	0096-3003, 1873-5649
Online-Zugang:	Volltext
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