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Modifications of the limited-memory BNS method for better satisfaction of previous quasi-Newton conditions
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SYSNO ASEP 0369695 Document Type V - Research Report R&D Document Type The record was not marked in the RIV Title Modifications 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, RIDIssue data Prague: ICS AS CR, 2011 Series Technical Report Series number V-1127 Number of pages 14 s. Language eng - English Country CZ - Czech Republic Keywords unconstrained minimization ; variable metric methods ; limited-memory methods ; the BFGS update ; conjugate directions ; preliminary numerical results Subject RIV BA - General Mathematics R&D Projects GA201/09/1957 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10300504 - UIVT-O (2005-2011) Annotation Several 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. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2012
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