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Primal-dual block-proximal splitting for a class of non-convex problems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F20%3A00118171" target="_blank" >RIV/00216224:14310/20:00118171 - isvavai.cz</a>

  • Result on the web

    <a href="https://epub.oeaw.ac.at/?arp=0x003bd91d" target="_blank" >https://epub.oeaw.ac.at/?arp=0x003bd91d</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1553/etna_vol52s509" target="_blank" >10.1553/etna_vol52s509</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Primal-dual block-proximal splitting for a class of non-convex problems

  • Original language description

    We develop block structure-adapted primal-dual algorithms for non-convex non-smooth optimisation problems, whose objectives can be written as compositions G(x) + F(K(x)) of non-smooth block-separable convex functions G and F with a nonlinear Lipschitz-differentiable operator K. Our methods are refinements of the nonlinear primal-dual proximal splitting method for such problems without the block structure, which itself is based on the primal-dual proximal splitting method of Chambolle and Pock for convex problems. We propose individual step length parameters and acceleration rules for each of the primal and dual blocks of the problem. This allows them to convergence faster by adapting to the structure of the problem. For the squared distance of the iterates to a critical point, we show local O(1/N), O(1/N-2), and linear rates under varying conditions and choices of the step length parameters. Finally, we demonstrate the performance of the methods for the practical inverse problems of diffusion tensor imaging and electrical impedance tomography.

  • 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

    <a href="/en/project/EF17_050%2F0008496" target="_blank" >EF17_050/0008496: MSCAfellow@MUNI</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Electronic Transactions on Numerical Analysis

  • ISSN

    1068-9613

  • e-ISSN

  • Volume of the periodical

    52

  • Issue of the periodical within the volume

    2020

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    44

  • Pages from-to

    509-552

  • UT code for WoS article

    000592187100027

  • EID of the result in the Scopus database

    2-s2.0-85092726928