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Implementation of novel methods of global and nonsmooth optimization: GANSO programming library

Beliakov, Gleb and Ugon, J. 2007, Implementation of novel methods of global and nonsmooth optimization: GANSO programming library, Optimization, vol. 56, no. 5 & 6, pp. 543-546.

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Title Implementation of novel methods of global and nonsmooth optimization: GANSO programming library
Author(s) Beliakov, Gleb
Ugon, J.
Journal name Optimization
Volume number 56
Issue number 5 & 6
Start page 543
End page 546
Publisher Taylor & Francis
Place of publication Abingdon, England
Publication date 2007-10
ISSN 0233-1934
1029-4945
Keyword(s) Global optimization
non-smooth optimization
nonlinear pro-gramming
numerical optimization
Summary We discuss the implementation of a number of modern methods of global and nonsmooth continuous optimization, based on the ideas of Rubinov, in a programming library GANSO. GANSO implements the derivative-free bundle method, the extended cutting angle method, dynamical system-based optimization and their various combinations and heuristics. We outline the main ideas behind each method, and report on the interfacing with Matlab and Maple packages.
Notes This is an electronic version of an article published in Optimization, vol. 56, no. 5 & 6, pp. 543-546. Optimization is available online at: http://www.informaworld.com/openurl?genre=article&issn=0233-1934&volume=56 &issue=5&6&spage=543
Language eng
Field of Research 010303 Optimisation
Socio Economic Objective 970101 Expanding Knowledge in the Mathematical Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2007, Taylor & Francis
Persistent URL http://hdl.handle.net/10536/DRO/DU:30007577

Document type: Journal Article
Collections: School of Engineering and Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.