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Titlebook: Mathematical Optimization Theory and Operations Research; 23rd International C Anton Eremeev,Michael Khachay,Panos Pardalos Conference proc

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書目名稱Mathematical Optimization Theory and Operations Research
副標(biāo)題23rd International C
編輯Anton Eremeev,Michael Khachay,Panos Pardalos
視頻videohttp://file.papertrans.cn/627/626489/626489.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Mathematical Optimization Theory and Operations Research; 23rd International C Anton Eremeev,Michael Khachay,Panos Pardalos Conference proc
描述.This book constitutes the refereed proceedings of the 23rd International Conference on Mathematical Optimization Theory and Operations Research, MOTOR?2024, held in Omsk, Russia, during June 30 - July 6, 2024.?..The 30 full papers included in this book were carefully reviewed and selected from 79 submissions. This book also contains two invited talk. They were organized in topical sections as follows: mathematical programming; combinatorial optimization; game theory; and operations research..
出版日期Conference proceedings 2024
關(guān)鍵詞Artificial intelligence; Combinatorial optimization; Graph theory; Numerical methods; Game theory; Optimi
版次1
doihttps://doi.org/10.1007/978-3-031-62792-7
isbn_softcover978-3-031-62791-0
isbn_ebook978-3-031-62792-7Series 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
The information of publication is updating

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https://doi.org/10.1007/978-3-031-62792-7Artificial intelligence; Combinatorial optimization; Graph theory; Numerical methods; Game theory; Optimi
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Accelerated Stochastic Gradient Method with?Applications to?Consensus Problem in?Markov-Varying Netwhieve agreement among multiple agents with differing objectives during the changes into communication system. To show the performance of our method on the problem above, we conduct experiments to demonstrate the superiority over the classic approach.
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