A variational method for accurate distance function estimation

Alexander G. Belyaev, Pierre-Alain Fayolle

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Variational problems for accurate approximation of the distance from the boundary of a domain are studied. It is demonstrated that the problems can be efficiently solved by ADMM. Advantages of the proposed distance function estimation methods are demonstrated by numerical experiments.

Original languageEnglish
Title of host publicationNumerical Geometry, Grid Generation and Scientific Computing
EditorsVladimir A. Garanzha, Lennard Kamenski, Hang Si
PublisherSpringer
Pages175-181
Number of pages7
ISBN (Electronic)9783030234362
ISBN (Print)9783030234355
DOIs
Publication statusPublished - 11 Oct 2019
Event9th International Conference on Numerical Geometry, Grid Generation, and Scientific Computing, celebrating the 150th anniversary of Georgy F. Voronoi - Moscow, Russian Federation
Duration: 3 Dec 20185 Dec 2018

Publication series

NameLecture Notes in Computational Science and Engineering
Volume131
ISSN (Print)1439-7358
ISSN (Electronic)2197-7100

Conference

Conference9th International Conference on Numerical Geometry, Grid Generation, and Scientific Computing, celebrating the 150th anniversary of Georgy F. Voronoi
Abbreviated titleNUMGRID 2018
CountryRussian Federation
CityMoscow
Period3/12/185/12/18

ASJC Scopus subject areas

  • Modelling and Simulation
  • Engineering(all)
  • Discrete Mathematics and Combinatorics
  • Control and Optimization
  • Computational Mathematics

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  • Cite this

    Belyaev, A. G., & Fayolle, P-A. (2019). A variational method for accurate distance function estimation. In V. A. Garanzha, L. Kamenski, & H. Si (Eds.), Numerical Geometry, Grid Generation and Scientific Computing (pp. 175-181). (Lecture Notes in Computational Science and Engineering; Vol. 131). Springer. https://doi.org/10.1007/978-3-030-23436-2_12