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Parametry
- 268 stránek
- 10 hodin čtení
Více o knize
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.
Nákup knihy
Stochastic Approximation: A Dynamical Systems Viewpoint, Vivek S. Borkar
- Jazyk
- Rok vydání
- 2024
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Doručení
Platební metody
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- Jazyk
- anglicky
- Autoři
- Vivek S. Borkar
- Vydavatel
- Springer Nature Singapore
- Rok vydání
- 2024
- Vazba
- měkká
- Počet stran
- 268
- ISBN13
- 9789819982738
- Série
- Hodnocení
- 4 z 5
- Anotace
- 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.