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A diffusion-generated approach to multiphase motion
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AI
DOI：10.1006/jcph.1998.6028.png)
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En 中文
In this article, we present a diffusion-generated approach for evolving multiple junctions. This work generalizes an earlier method by Merriman, Bence, and Osher which alternately diffuses and sharpens characteristic functions for each phase region to produce pure mean curvature flow. Specifically our new method produces a normal velocity which depends on a positive multiple of the curvature of the interface plus the difference in bull: energy densities for prescribed junction angles. This simple method naturally treats topological mergings and breakings, produces no overlapping regions or vacuums, and can be made very fast. Numerical studies are provided which show that our method agrees with front tracking aad a recent variational approach for a variety of examples. Asymptotic expansions are also carried out near junctions to justify our algorithms. (C) 1998 Academic Press.
Keyword:
LEVEL SET APPROACH
CURVATURE
期刊
IF:
3.8
论文数:
1.6W
被引数:
7.4W
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