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Titlebook: Optimization and Applications; 14th International C Nicholas Olenev,Yuri Evtushenko,Vlasta Malkova Conference proceedings 2023 The Editor(s

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书目名称Optimization and Applications
副标题14th International C
编辑Nicholas Olenev,Yuri Evtushenko,Vlasta Malkova
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Optimization and Applications; 14th International C Nicholas Olenev,Yuri Evtushenko,Vlasta Malkova Conference proceedings 2023 The Editor(s
描述.This book constitutes the refereed proceedings of the 14th International Conference on Optimization and Applications, OPTIMA 2023, held in Petrovac, Montenegro, during September 18–22, 2023..The 27 full papers included in this book were carefully reviewed and selected from 68 submissions. They were organized in topical sections as follows: ​mathematical programming; global optimization; discrete and combinatorial optimization; game theory and mathematical economics; optimization in economics and finance; and applications..
出版日期Conference proceedings 2023
关键词global optimization; nondifferential optimiazation; graph theory; optimization problems; mathematical pr
版次1
doihttps://doi.org/10.1007/978-3-031-47859-8
isbn_softcover978-3-031-47858-1
isbn_ebook978-3-031-47859-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/o/image/703186.jpg
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https://doi.org/10.1007/978-3-031-47859-8global optimization; nondifferential optimiazation; graph theory; optimization problems; mathematical pr
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Representation of the Eternal Vertex Cover Problem as a Dynamic Stackelberg Game Defender) with an infinite number of turns. At each turn, there is an arrangement of guards over the vertices of the graph, forming a vertex cover. Attacker attacks one of the graph’s edges, and Defender must move the guard along the attacked edge from one vertex to another. Additionally, Defender
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A Derivative-Free Nonlinear Least Squares Solver for Nonsmooth Functionsion is that the residual function is continuous and piecewise smooth with integrable Jacobian matrix. The preconditioner is taken as a rectangular matrix depending on pseudorandom parameters. The search subspaces are generated using Arnoldi type recurrences with additional basis orthonormalization.
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