
Stochastic Approximation: A Dynamical Systems Viewpoint
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Reviews / Votes
"This book is best suited for advanced readers with backgrounds in probability theory and dynamical systems, though its clear exposition makes it a valuable reference for researchers and practitioners interested in stochastic optimization and learning algorithms. A highly recommended read for those working in machine learning, engineering, and mathematical optimization." (Pagadala Usha, Computing Reviews, March 27, 2025)
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Person
Professor Borkar obtained his B.Tech. (Electrical Engineering) from the IIT Bombay in 1976, MS (Systems and Control Engineering) from Case Western Reserve University in 1977, and Ph.D. (Electrical Engineering and Computer Sciences) from the University of California, Berkeley, USA, in 1980. He is Fellow of American Mathematical Society, IEEE, and the World Academy of Sciences, and of various science and engineering academies in India. He has won several awards and honours in India and was an invited speaker at the ICM 2006 in Madrid. He has authored/co-authored six books and several archival publications. His primary research interests are in stochastic optimization and control, covering theory and algorithms.
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