2019/10/24 by Tim Laux, Félix Otto, Laux, Tim +1 · 5 citations
Computer Science · Medicine · #Advanced Mathematical Modeling in Engineering #Advanced Neuroimaging Techniques and Applications #Analysis of PDEs (math.AP) #FOS: Mathematics #Topological and Geometric Data Analysis
paper · pdf · doi:10.48550/arxiv.1910.11442
openalex publication_date 2019/10/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We consider the thresholding scheme and explore its connection to De Giorgi's\nideas on gradient flows in metric spaces; here applied to mean curvature flow\nas the steepest descent of the interfacial area.\n The basis of our analysis is the observation by Esedoglu and the second\nauthor that thresholding can be interpreted as a minimizing movements scheme\nfor an energy that approximates the interfacial area.\n De Giorgi's framework provides an optimal energy dissipation relation for the\nscheme in which we pass to the limit to derive a dissipation-based weak\nformulation of mean curvature flow.\n Although applicable in the general setting of arbitrary networks, here we\nrestrict ourselves to the case of a single interface, which allows for a\ncompact, self-contained presentation.\n