Global optimization of multivariable functions satisfying the Vanderbei condition

Fuente: arXiv
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Main Authors: Arutyunova, Natalya, Dulliev, Aidar, Zabotin, Vladislav
Format: Preprint
Published: 2019
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_version_ 1866910335420596224
author Arutyunova, Natalya
Dulliev, Aidar
Zabotin, Vladislav
author_facet Arutyunova, Natalya
Dulliev, Aidar
Zabotin, Vladislav
contents We propose two algorithms for solving global optimization problems on a hyperrectangle with an objective function satisfying the Vanderbei condition (this function is also called an $\varepsilon$-Lipschitz continuous function). The algorithms belong to the class of non-uniform cover-ings methods. For the algorithms we prove propositions about convergence to an $\varepsilon$-solution in terms of the objective function. We illustrate the performance of the algorithms using several test numerical examples with non-Lipschitz continuous objective functions.
format Preprint
id arxiv_https___arxiv_org_abs_1912_13016
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle Global optimization of multivariable functions satisfying the Vanderbei condition
Arutyunova, Natalya
Dulliev, Aidar
Zabotin, Vladislav
Optimization and Control
Primary, 90C26, Secondary, 90C56, 90C57, 65K05
We propose two algorithms for solving global optimization problems on a hyperrectangle with an objective function satisfying the Vanderbei condition (this function is also called an $\varepsilon$-Lipschitz continuous function). The algorithms belong to the class of non-uniform cover-ings methods. For the algorithms we prove propositions about convergence to an $\varepsilon$-solution in terms of the objective function. We illustrate the performance of the algorithms using several test numerical examples with non-Lipschitz continuous objective functions.
title Global optimization of multivariable functions satisfying the Vanderbei condition
topic Optimization and Control
Primary, 90C26, Secondary, 90C56, 90C57, 65K05
url https://arxiv.org/abs/1912.13016