We extend thresholding methods for numerical realization of mean curvature flow on obstacles to the anisotropic setting where interfacial energy depends on the orientation of the interface. This type of schemes treats the interface implicitly, which supports natural implementation of topology changes, such as merging and splitting, and makes the approach attractive for applications in material science. The main tool in the new scheme are convolution kernels developed in previous studies, that approximate the given anisotropy in a nonlocal way. We provide a detailed report on the numerical properties of the proposed algorithm.
翻译:我们扩展了从数字上实现平均曲线流的阈值方法,以衡量在厌食环境下的阻力,即交互能量取决于界面的方向。 此类方案暗含地对待界面,支持自然实施地貌变化,如合并和分裂,并使这种方法对物质科学的应用具有吸引力。 新方案的主要工具是先前研究中开发的、以非本地方式接近给定的厌食状态的卷发内核。 我们提供了一份详细的报告,说明拟议算法的数值属性。