Some Optimization Algorithms for the Mean Curvature Flow Under Rough Initial Conditions

Bibliographic Details
Main Author: Wang, Guanqian
Language:English
Published: The Ohio State University / OhioLINK 2020
Subjects:
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=osu1574797713133422
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-osu15747977131334222021-08-03T07:13:25Z Some Optimization Algorithms for the Mean Curvature Flow Under Rough Initial Conditions Wang, Guanqian Mathematics In this thesis we test some known algorithms and propose some new algorithms for the computation of the mean curvature flow under topological changes. For the known algorithms, we test Level Set Method, Phase Field Method and Energy Minimization. We also propose two new algorithms: Energy Penalized Minimization Algorithm and Multilevel Energy Minimization Algorithm. The thesis consists of three parts. In the first part, to study the random initial condition, we set up several sensitive benchmark initial conditions with topological changes and finds that different interaction lengths may lead to different evolution patterns. Secondly, we propose the energy penalized minimization algorithm, which can solve those benchmark problems very well. Further, the newly proposed energy penalized minimization algorithm can carry out the evolution of random initial conditions very well. At last, we propose a multilevel energy minimization algorithm, which can be more tolerant when there is an unsatisfying initial guess. 2020-03-06 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1574797713133422 http://rave.ohiolink.edu/etdc/view?acc_num=osu1574797713133422 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Mathematics
spellingShingle Mathematics
Wang, Guanqian
Some Optimization Algorithms for the Mean Curvature Flow Under Rough Initial Conditions
author Wang, Guanqian
author_facet Wang, Guanqian
author_sort Wang, Guanqian
title Some Optimization Algorithms for the Mean Curvature Flow Under Rough Initial Conditions
title_short Some Optimization Algorithms for the Mean Curvature Flow Under Rough Initial Conditions
title_full Some Optimization Algorithms for the Mean Curvature Flow Under Rough Initial Conditions
title_fullStr Some Optimization Algorithms for the Mean Curvature Flow Under Rough Initial Conditions
title_full_unstemmed Some Optimization Algorithms for the Mean Curvature Flow Under Rough Initial Conditions
title_sort some optimization algorithms for the mean curvature flow under rough initial conditions
publisher The Ohio State University / OhioLINK
publishDate 2020
url http://rave.ohiolink.edu/etdc/view?acc_num=osu1574797713133422
work_keys_str_mv AT wangguanqian someoptimizationalgorithmsforthemeancurvatureflowunderroughinitialconditions
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