Items related to Distributed Optimization and Learning: A Control-Theoretic...
- PublisherAcademic Press
- Publication date2024
- ISBN 10 0443216363
- ISBN 13 9780443216367
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages286
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Distributed Optimization and Learning : A Control-theoretic Perspective
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Distributed Optimization and Learning (Paperback)
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Elsevier Science Publishing Co Inc, San Diego, 2024
ISBN 10: 0443216363
ISBN 13: 9780443216367
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Paperback. Condition: new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780443216367
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Distributed Optimization and Learning: A Control-Theoretic Perspective
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Distributed Optimization and Learning : A Control-theoretic Perspective
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Distributed Optimization and Learning: A Control-Theoretic Perspective
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Distributed Optimization and Learning: A Control-theoretic Perspective
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Distributed Optimization and Learning : A Control-theoretic Perspective
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Distributed Optimization and Learning: A Control-Theoretic Perspective
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Distributed Optimization and Learning (Paperback)
Published by
Elsevier Science Publishing Co Inc, San Diego, 2024
ISBN 10: 0443216363
ISBN 13: 9780443216367
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Paperback
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Paperback. Condition: new. Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780443216367
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