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Modifications of the limited-memory BNS method for better satisfaction of previous quasi-Newton conditions

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    SYSNO ASEP0369695
    Document TypeV - Research Report
    R&D Document TypeThe record was not marked in the RIV
    TitleModifications of the limited-memory BNS method for better satisfaction of previous quasi-Newton conditions
    Author(s) Vlček, Jan (UIVT-O) SAI, RID, ORCID
    Lukšan, Ladislav (UIVT-O) SAI, RID
    Issue dataPrague: ICS AS CR, 2011
    SeriesTechnical Report
    Series numberV-1127
    Number of pages14 s.
    Languageeng - English
    CountryCZ - Czech Republic
    Keywordsunconstrained minimization ; variable metric methods ; limited-memory methods ; the BFGS update ; conjugate directions ; preliminary numerical results
    Subject RIVBA - General Mathematics
    R&D ProjectsGA201/09/1957 GA ČR - Czech Science Foundation (CSF)
    CEZAV0Z10300504 - UIVT-O (2005-2011)
    AnnotationSeveral modifications of the limited-memory variable metric BNS method for large scale un- constrained optimization are proposed, which consist in corrections (derived from the idea of conjugate directions) of the used difference vectors to improve satisfaction of previous quasi-Newton conditions, utilizing information from previous or subsequent iterations. In case of quadratic objective functions, conjugacy of all stored diffrence vectors and satisfaction of quasi-Newton conditions with these vectors is established. There are many possibilities how to realize this approach and although only two methods were implemented and tested, preliminary numerical results are promising.
    WorkplaceInstitute of Computer Science
    ContactTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Year of Publishing2012
Number of the records: 1  

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