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Numerical methods for anisotropic mean curvature flow based on a discrete time variational formulation. (English) Zbl 1273.35027

Summary: Numerical methods for planar anisotropic mean curvature flow are presented for smooth and crystalline anisotropies. The methods exploit the variational level-set formulation of A. Chambolle, in conjunction with the split Bregman algorithm (equivalent to the augmented Lagrangian method and the alternating directions method of multipliers). This induces a decoupling of the anisotropy, resulting in a linear elliptic PDE and a generalized shrinkage (soft thresholding) problem. In the crystalline anisotropy case, an explicit formula for the shrinkage problem is derived. In the smooth anisotropy case, a system of nonlinear evolution equations, called inverse scale space flow, is solved. Numerical results are presented.

MSC:

35A35 Theoretical approximation in context of PDEs
35K55 Nonlinear parabolic equations
35K65 Degenerate parabolic equations
49M25 Discrete approximations in optimal control
65K10 Numerical optimization and variational techniques
65M06 Finite difference methods for initial value and initial-boundary value problems involving PDEs
65M12 Stability and convergence of numerical methods for initial value and initial-boundary value problems involving PDEs
53C44 Geometric evolution equations (mean curvature flow, Ricci flow, etc.) (MSC2010)

Software:

AMCF; na13
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