bokomslag Distributed Optimization and Learning
Data & IT

Distributed Optimization and Learning

Zhongguo Li

Pocket

2039:-

Funktionen begränsas av dina webbläsarinställningar (t.ex. privat läge).

Uppskattad leveranstid 10-16 arbetsdagar

Fri frakt för medlemmar vid köp för minst 249:-

  • 286 sidor
  • 2024

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.




  • Provides a series of the latest results, including but not limited to, distributed cooperative and competitive optimization, machine learning, and optimal resource allocation
  • Presents the most recent advances in theory and applications of distributed optimization and machine learning, including insightful connections to traditional control techniques
  • Offers numerical and simulation results in each chapter in order to reflect engineering practice and demonstrate the main focus of developed analysis and synthesis approaches
  • Författare: Zhongguo Li
  • Format: Pocket/Paperback
  • ISBN: 9780443216367
  • Språk: Engelska
  • Antal sidor: 286
  • Utgivningsdatum: 2024-07-23
  • Förlag: Academic Press