Isbn: 9780443216367 - Distributed Optimization and Learning: a Control-theoretic Perspective (13 results)
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Published by Elsevier Science Publishing Co Inc, US, 2024
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Paperback. Condition: New. 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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Condition: New. Provides a series of the latest results, including but not limited to, distributed cooperative and competitive optimization, machine learning, and optimal resource allocationPresents the most recent advances in theory and applications of di.
Language: English
Published by Elsevier Science Publishing Co Inc, US, 2024
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Paperback. Condition: New. 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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Taschenbuch. Condition: Neu. Neuware - 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.…
- Softcover
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Paperback. Condition: Brand New. 350 pages. 9.00x5.94x0.59 inches. In Stock. This item is printed on demand.
Published by Academic Press
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Condition: new. Questo è un articolo print on demand.
