Distributed Optimization and Learning by Zhongguo Li (.ePUB)
File Size: 24.0 MB
Distributed Optimization and Learning: A Control-Theoretic Perspective by Zhongguo Li, Zhengtao Ding
Requirements: .ePUB reader, 24.0 MB
Overview: 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. For researchers, industrial practitioners, graduate students in optimization, control engineering, Data Sciences, Machine Learning, mechatronics, and applied mathematics, Mathematicians and engineers working on optimisation, learning and control systems, 3rd/4th-year undergraduate students with interests in multi-agent system optimization and control, robotics and Machine Learning.
Genre: Non-Fiction > Tech & Devices
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