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Stochastic Approximation: A Dynamical Systems Viewpoint

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Focusing on stochastic approximation algorithms, this advanced text offers a comprehensive analysis using the ordinary differential equation (ODE) approach. The second edition enhances classical convergence analysis and introduces recent developments like concentration bounds and stability tests. It covers distributed schemes, multiple time scales, and various noise models, while also categorizing key applications. This book serves as both a graduate course resource and a valuable reference for researchers and practitioners in probability, statistics, engineering, economics, and machine learning.

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Stochastic Approximation: A Dynamical Systems Viewpoint, Vivek S. Borkar

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Erscheinungsdatum
2024
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Sprache
Englisch
Autor*innen
Vivek S. Borkar
Erscheinungsdatum
2024
Einband
Paperback
Seitenzahl
268
ISBN13
9789819982738
Reihe
Bewertung
4 von 5 Sternen
Beschreibung
Focusing on stochastic approximation algorithms, this advanced text offers a comprehensive analysis using the ordinary differential equation (ODE) approach. The second edition enhances classical convergence analysis and introduces recent developments like concentration bounds and stability tests. It covers distributed schemes, multiple time scales, and various noise models, while also categorizing key applications. This book serves as both a graduate course resource and a valuable reference for researchers and practitioners in probability, statistics, engineering, economics, and machine learning.