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ALGORITHMS FOR MOTION OF NETWORKS BY WEIGHTED MEAN CURVATURE

机译:基于加权平均曲率的网络运动算法

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I will report on recent developments in a class of algorithms, known as threshold dynamics, for computing the motion of interfaces by mean curvature. These algorithms try to generate the desired interfacial motion just by alternating two very simple operations: Convolution, and thresholding. They can be extended to the multiphase setting of networks of surfaces, and to motion by weighted (anisotropic) mean curvature, while maintaining the simplicity of the original version. These extensions are relevant in applications such as materials science, where they allow large scale simulation of models for microstructure evolution in polycrystals.
机译:我将报告一类算法中的最新发展,称为阈值动态,以通过平均曲率计算接口的运动。 这些算法尝试通过交替两个非常简单的操作来生成所需的界面运动:卷积和阈值。 它们可以扩展到表面网络的多相设置,并由加权(各向异性)平均曲率运动,同时保持原始版本的简单性。 这些扩展在材料科学等应用中,它们允许大规模模拟多晶体中的微观结构演变模型。

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