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Primal-Dual Proximal Splitting and Generalized Conjugation in Non-smooth Non-convex Optimization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F21%3A00120832" target="_blank" >RIV/00216224:14310/21:00120832 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/s00245-020-09676-1" target="_blank" >https://doi.org/10.1007/s00245-020-09676-1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s00245-020-09676-1" target="_blank" >10.1007/s00245-020-09676-1</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Primal-Dual Proximal Splitting and Generalized Conjugation in Non-smooth Non-convex Optimization

  • Original language description

    We demonstrate that difficult non-convex non-smooth optimization problems, such as Nash equilibrium problems and anisotropic as well as isotropic Potts segmentation models, can be written in terms of generalized conjugates of convex functionals. These, in turn, can be formulated as saddle-point problems involving convex non-smooth functionals and a general smooth but non-bilinear coupling term. We then show through detailed convergence analysis that a conceptually straightforward extension of the primal-dual proximal splitting method of Chambolle and Pock is applicable to the solution of such problems. Under sufficient local strong convexity assumptions on the functionals-but still with a non-bilinear coupling term-we even demonstrate local linear convergence of the method. We illustrate these theoretical results numerically on the aforementioned example problems.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Applied Mathematics and Optimization

  • ISSN

    0095-4616

  • e-ISSN

    1432-0606

  • Volume of the periodical

    84

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    46

  • Pages from-to

    1239-1284

  • UT code for WoS article

    000526189300001

  • EID of the result in the Scopus database

    2-s2.0-85083766800