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Interior-Point Method for Non-Linear Non-Convex Optimization

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    SYSNO ASEP0103267
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleInterior-Point Method for Non-Linear Non-Convex Optimization
    TitleMetoda vnitřních bodů pro nelineární nekonvexní optimalizaci
    Author(s) Lukšan, Ladislav (UIVT-O) SAI, RID
    Matonoha, Ctirad (UIVT-O) RID, SAI
    Vlček, Jan (UIVT-O) SAI, RID, ORCID
    Source TitleNumerical Linear Algebra with Applications. - : Wiley - ISSN 1070-5325
    Roč. 11, č. 5-6 (2004), s. 431-453
    Number of pages23 s.
    Languageeng - English
    CountrySE - Sweden
    Keywordsnon-linear programming ; interior point methods ; indefinite systems ; indefinite preconditioners ; preconditioned conjugate gradient method ; merit functions ; algorithms ; computational experiments
    Subject RIVBA - General Mathematics
    R&D ProjectsIAA1030103 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
    CEZAV0Z1030915 - UIVT-O
    UT WOS000222419700003
    EID SCOPUS10044222210
    DOI10.1002/nla.354
    AnnotationIn this paper, we propose an algorithm for solving non-linear non-convex programming problems, which is based on the interior point approach. Main theoretical results concern direction determination and step-length selection. We split inequality constraints into active and inactive to overcome problems with stability. Inactive constraints are eliminated directly while active constraints are used to define symmetric indefinite linear system. Inexact solution of this system is obtained iteratively using indefinitely preconditioned conjugate gradient method. Theorems confirming efficiency of several indefinite preconditioners are proved. Furthermore, new merit function is defined, which includes effect of possible regularization. This regularization can be used to overcome problems with near linear dependence of active constraints. The algorithm was implemented in the interactive system for universal functional optimization UFO. Results of extensive numerical experiments are reported.
    WorkplaceInstitute of Computer Science
    ContactTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Year of Publishing2005
Number of the records: 1  

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