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Distributed Optimization and Learning A Control-Theoretic Perspective - Zhongguo Li,Zhengtao Ding

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2024-07-23
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Distributed Optimization and Learning: A Control-Theoretic Perspective illustrates the underlying principles of distributed optimization and learning. The book presents a systematic and self-contained description of distributed optimization and learning algorithms from a control-theoretic perspective. It focuses on exploring control-theoretic approaches and how those approaches can be utilized to solve dist ... Visas aprašymas

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Distributed Optimization and Learning: A Control-Theoretic Perspective illustrates the underlying principles of distributed optimization and learning. The book presents a systematic and self-contained description of distributed optimization and learning algorithms from a control-theoretic perspective. It focuses on exploring control-theoretic approaches and how those approaches can be utilized to solve distributed optimization and learning problems over network-connected, multi-agent systems. As there are strong links between optimization and learning, this book provides a unified platform for understanding distributed optimization and learning algorithms for different purposes.

Daugiau informacijos

Autorius Zhongguo Li, Zhengtao Ding
Leidėjas Elsevier Science
Išleidimo metai 2024
Viršelio tipas Minkšti viršeliai
EAN 9780443216367
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243,02 € 324,03 €