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

journal contribution
posted on 2007-10-01, 00:00 authored by Gleb BeliakovGleb Beliakov, Julien UgonJulien Ugon
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.

History

Journal

Optimization

Volume

56

Issue

5 & 6

Pagination

543 - 546

Publisher

Taylor & Francis

Location

Abingdon, England

Publisher DOI

ISSN

0233-1934

eISSN

1029-4945

Language

eng

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

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2007, Taylor & Francis

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    Keywords

    Global optimizationnon-smooth optimizationnonlinear pro-grammingnumerical optimizationScience & TechnologyTechnologyPhysical SciencesOperations Research & Management ScienceMathematics, AppliedMathematicsnonsinooth optimizationnonlinear programmingmillierical optimization

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    All Rights Reserved

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