{"product_id":"distributed-optimization-and-learning-a-control-theoretic-perspective-9780443216367","title":"Distributed Optimization and Learning: A Control-Theoretic Perspective","description":"\u003cp\u003e • Author(s): Zhongguo Li\u003cbr\u003e • Publisher: Academic Press\u003cbr\u003e • Publisher Imprint: Academic Press\u003cbr\u003e • BISAC: Mechanical\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eDistributed Optimization and Learning: A Control-Theoretic Perspective\u003c\/i\u003e 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.\u003c\/p\u003e","brand":"Academic Press","offers":[{"title":"Paperback","offer_id":45310111187095,"sku":"9780443216367","price":8442.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780443216367.webp?v=1769287052","url":"https:\/\/atlanticbooks.com\/products\/distributed-optimization-and-learning-a-control-theoretic-perspective-9780443216367","provider":"Atlantic Books","version":"1.0","type":"link"}