Number of the records: 1  

Primal Interior Point Method for Minimization of Generalized Minimax Functions

  1. 1.
    SYSNO ASEP0347293
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitlePrimal Interior Point Method for Minimization of Generalized Minimax Functions
    Author(s) Lukšan, Ladislav (UIVT-O) SAI, RID
    Matonoha, Ctirad (UIVT-O) RID, SAI
    Vlček, Jan (UIVT-O) SAI, RID, ORCID
    Source TitleKybernetika. - : Ústav teorie informace a automatizace AV ČR, v. v. i. - ISSN 0023-5954
    Roč. 46, č. 4 (2010), s. 697-721
    Number of pages25 s.
    Languageeng - English
    CountryCZ - Czech Republic
    Keywordsunconstrained optimization ; large-scale optimization ; nonsmooth optimization ; generalized minimax optimization ; interior-point methods ; modified Newton methods ; variable metric methods ; global convergence ; computational experiments
    Subject RIVBA - General Mathematics
    R&D ProjectsGA201/09/1957 GA ČR - Czech Science Foundation (CSF)
    CEZAV0Z10300504 - UIVT-O (2005-2011)
    UT WOS000284562000008
    EID SCOPUS79951615907
    AnnotationIn this paper, we propose a primal interior-point method for large sparse generalized minimax optimization. After a short introduction, where the problem is stated, we introduce the basic equations of the Newton method applied to the KKT conditions and propose a primal interior-point method. Next we describe the basic algorithm and give more details concerning its implementation covering numerical differentiation, variable metric updates, and a barrier parameter decrease. Using standard weak assumptions, we prove that this algorithm is globally convergent if a bounded barrier is used. Then, using stronger assumptions, we prove that it is globally convergent also for the logarithmic barrier. Finally, we present results of computational experiments confirming the efficiency of the primal interior point method for special cases of generalized minimax problems.
    WorkplaceInstitute of Computer Science
    ContactTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Year of Publishing2011
Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.