Globally Convergent Variable Metric Method for Nonconvex Nondifferentiable Unconstrained Minimization.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F01%3A06010150" target="_blank" >RIV/67985807:_____/01:06010150 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Globally Convergent Variable Metric Method for Nonconvex Nondifferentiable Unconstrained Minimization.

Original language description

A special variable metric method is given for finding the stationary points of locally Lipschitz continuous functions which are not necessarily convex or differentiable. time consumping quadratic programming subproblems do not need to be solved. Global convergence of the method is established. Some encouraging numerical experience is reported.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

<a href="/en/project/GA201%2F00%2F0080" target="_blank" >GA201/00/0080: Development of methods for solving problems of non-smooth and non-linear analysis</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2001

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Optimization Theory and Applications

ISSN

0022-3239

e-ISSN

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Volume of the periodical

111

Issue of the periodical within the volume

2

Country of publishing house

US - UNITED STATES

Number of pages

24

Pages from-to

407-430

UT code for WoS article

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EID of the result in the Scopus database

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