Continuous global optimization of multivariable functions based on Sergeev and Kvasov diagonal approach

DOI10.15507/2079-6900.24.202204.399-418OpenAlexW4312218208MaRDI QIDQ6046693

Unnamed Author, Unnamed Author

Publication date: 6 October 2023

Published in: Zhurnal Srednevolzhskogo Matematicheskogo Obshchestva (Search for Journal in Brave)

Full work available at URL: http://mathnet.ru/eng/svmo841

zbMATH Keywords

global optimizationconvergencenonconvex optimizationcontinuous functionnon-Lipschitz optimization\( \varepsilon \)-Lipschitz function

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26)

Cites Work

• Unnamed Item
• Extension of Piyavskii's algorithm to continuous global optimization
• Semi-Lipschitz functions and best approximation in quasi-metric spaces
• Global optimization of multivariable functions satisfying the Vanderbei condition
• Safe global optimization of expensive noisy black-box functions in the \(\delta \)-Lipschitz framework
• Models and Methods for Three External Ballistics Inverse Problems
• A Sequential Method Seeking the Global Maximum of a Function
• Generalized Lipschitz functions
• Efficient strategy for adaptive partition of N-dimensional intervals in the framework of diagonal algorithms

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