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research article

An anisotropic adaptive method for the numerical approximation of orthogonal maps

Caboussat, Alexandre  
•
Gourzoulidis, Dimitrios  
•
Picasso, Marco  
June 1, 2022
Journal Of Computational And Applied Mathematics

Orthogonal maps are two-dimensional mappings that are solutions of the so-called origami problem obtained when folding a paper. These mappings are piecewise linear, and the discontinuities of their gradient form a singular set composed of straight lines representing the folding edges. The proposed algorithm relies on the minimization of a variational principle discussed in Caboussat et al. (2019). A splitting algorithm for the corresponding flow problem derived from the first-order optimality conditions alternates between local nonlinear problems and linear elliptic variational problems at each time step. Anisotropic adaptive techniques allow to obtain refined triangulations near the folding edges while keeping the number of vertices as low as possible. Numerical experiments validate the accuracy and efficiency of the adaptive method in various situations. Appropriate convergence properties are exhibited, and solutions with sharp edges are recovered. (C)& nbsp;2021 The Author(s). Published by Elsevier B.V.& nbsp;

  • Details
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Type
research article
DOI
10.1016/j.cam.2021.113997
Web of Science ID

WOS:000789632300009

Author(s)
Caboussat, Alexandre  
Gourzoulidis, Dimitrios  
Picasso, Marco  
Date Issued

2022-06-01

Publisher

ELSEVIER

Published in
Journal Of Computational And Applied Mathematics
Volume

407

Article Number

113997

Subjects

Mathematics, Applied

•

Mathematics

•

orthogonal maps

•

eikonal equation

•

origami

•

operator splitting

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anisotropic adaptive mesh refinement

•

operator splitting method

•

error estimator

•

equations

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
ASN  
GR-PI  
Available on Infoscience
May 23, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/187980
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