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Symbolic Local Refinement of Tetrahedral Grids

Symbolic local refinement of tetrahedral grids
descriptionPublicationkeyboard_double_arrow_right Article 01 May 1994 English Publisher:Elsevier BVJournal:Journal of Symbolic Computation, volume 17, pages 457-472 (issn: 0747-7171, Copyright policy )
Authors: Delma J. Hebert;

doi: 10.1006/jsco.1994.1029

Symbolic Local Refinement of Tetrahedral Grids

Abstract

The paper shows how a usual efficient simplicial refinement method (Maubach's algorithm) can be made even more efficient replacing numerical computations by symbolic computations. A prototype written in the Mathematica programming language is used to test the algorithms.

Keywords

Algebra and Number Theory, tetrahedral grids, Symbolic computation and algebraic computation, Mesh generation, refinement, and adaptive methods for boundary value problems involving PDEs, symbolic computations, Computational Mathematics, simplicial refinement method, Numerical aspects of computer graphics, image analysis, and computational geometry, symbolic local refinement, Maubach's algorithm, Mathematica programming language

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
37
Average
Top 10%
Average
hybrid