Distributed Optimization and Learning A Control-Theoretic Perspective - Zhongguo Li,Zhengtao Ding
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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 ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Zhongguo Li, Zhengtao Ding |
|---|---|
| Izdevējs | Elsevier Science |
| Izlaides gads | 2024 |
| Vāka tips | Mīkstais vāks |
| EAN | 9780443216367 |