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Interior-Point Method for Non-Linear Non-Convex Optimization
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SYSNO ASEP 0103267 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Interior-Point Method for Non-Linear Non-Convex Optimization Title Metoda 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, ORCIDSource Title Numerical Linear Algebra with Applications. - : Wiley - ISSN 1070-5325
Roč. 11, č. 5-6 (2004), s. 431-453Number of pages 23 s. Language eng - English Country SE - Sweden Keywords non-linear programming ; interior point methods ; indefinite systems ; indefinite preconditioners ; preconditioned conjugate gradient method ; merit functions ; algorithms ; computational experiments Subject RIV BA - General Mathematics R&D Projects IAA1030103 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) CEZ AV0Z1030915 - UIVT-O UT WOS 000222419700003 EID SCOPUS 10044222210 DOI 10.1002/nla.354 Annotation In 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. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2005
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