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"item_title" : "Distributed Optimization and Learning",
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"item_description" : "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.",
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Distributed Optimization and Learning : A Control-Theoretic Perspective
by Zhongguo Li and Zhengtao Ding
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.
This item is Non-Returnable
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Details
- ISBN-13: 9780443216367
- ISBN-10: 0443216363
- Publisher: Academic Press
- Publish Date: July 2024
- Dimensions: 9 x 6 x 0.6 inches
- Shipping Weight: 0.85 pounds
- Page Count: 286
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