Journal article
NUMERICAL METHODS FOR BIOMEMBRANES: CONFORMING SUBDIVISION METHODS VERSUS NON-CONFORMING PL METHODS
MATHEMATICS OF COMPUTATION, v 90(328), pp 471-516
Mar 2021
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The Canham-Helfrich-Evans models of biomembranes consist of a family of geometric constrained variational problems. In this article, we compare two classes of numerical methods for these variational problems based on piecewise linear (PL) and subdivision surfaces (SS). Since SS methods are based on spline approximation and can be viewed as higher order versions of PL methods, one may expect that the only difference between the two methods is in the accuracy order. In this paper, we prove that a numerical method based on minimizing any one of the `PL Willmore energies' proposed in the literature would fail to converge to a solution of the continuous problem, whereas a method based on minimization of the bona fide Willmore energy, well-defined for SS but not PL surfaces, succeeds. Motivated by this analysis, we propose also a regularization method for the PL method based on techniques from conformal geometry. We address a number of implementation issues crucial for the efficiency of our solver. A software package called Wmincon accompanies this article, and provides parallel implementations of all the relevant geometric functionals. When combined with a standard constrained optimization solver, the geometric variational problems can then be solved numerically. To this end, we realize that some of the available optimization algorithms/solvers are capable of preserving symmetry, while others manage to break symmetry; we explore the consequences of this observation.
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Details
- Title
- NUMERICAL METHODS FOR BIOMEMBRANES: CONFORMING SUBDIVISION METHODS VERSUS NON-CONFORMING PL METHODS
- Publication Details
- MATHEMATICS OF COMPUTATION, v 90(328), pp 471-516
- Publisher
- AMER MATHEMATICAL SOC; PROVIDENCE
- Number of pages
- 45
- Grant note
- The second author was supported in part by the National Science Foundation grants DMS 0512673, DMS 0915068, and DMS 1115915. The third author was supported in part by the Office of the Provost and the Steinbright Career Development Center of Drexel University. The fourth author was supported in part by the Aspen Center For Physics (funded by NSF-PHY 1607611), ICERM (funded by NSF-DMS 1439786), and MSRI (funded by NSF-DMS 1440140). The sixth author was supported in part by a 2013 Goldwater scholarship during his study at Drexel University.
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Drexel University
- Web of Science ID
- WOS:000606753500001
- Scopus ID
- 2-s2.0-85099617163
- Other Identifier
- 991021860655404721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Mathematics, Applied