Vai al contenuto principale della pagina

Stochastic Approximation: A Dynamical Systems Viewpoint / / by Vivek S. Borkar



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Borkar Vivek S. Visualizza persona
Titolo: Stochastic Approximation: A Dynamical Systems Viewpoint / / by Vivek S. Borkar Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Edizione: 2nd ed. 2023.
Descrizione fisica: 1 online resource (280 pages)
Disciplina: 519.2
Soggetto topico: Statistics
Artificial intelligence
Probabilities
Operations research
Game theory
Automatic control
Statistical Theory and Methods
Artificial Intelligence
Probability Theory
Operations Research and Decision Theory
Game Theory
Control and Systems Theory
Anàlisi estocàstica
Soggetto genere / forma: Llibres electrònics
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: 1. Introduction -- 2. Convergence Analysis -- 3. Finite Time Bounds and Traps -- 4. Stability Criteria -- 5. Stochastic Recursive Inclusions -- 6. Asynchronous Schemes -- 7. A Limit Theorem for Fluctuations -- 8. Multiple Timescales -- 9. Constant Stepsize Algorithms -- 10. General Noise Models -- 11. Stochastic Gradient Schemes -- 12. Liapunov and Related Systems -- 13. Appendix A: Topics in Analysis -- 14. Appendix B: Ordinary Differential Equations -- 15. Appendix C: Topics in Probability -- Bibliography -- Index. .
Sommario/riassunto: This book serves as an advanced text for a graduate course on stochastic algorithms for the students of probability and statistics, engineering, economics and machine learning. This second edition gives a comprehensive treatment of stochastic approximation algorithms based on the ordinary differential equation (ODE) approach which analyses the algorithm in terms of a limiting ODE. It has a streamlined treatment of the classical convergence analysis and includes several recent developments such as concentration bounds, avoidance of traps, stability tests, distributed and asynchronous schemes, multiple time scales, general noise models, etc., and a category-wise exposition of many important applications. It is also a useful reference for researchers and practitioners in the field.
Titolo autorizzato: Stochastic approximation  Visualizza cluster
ISBN: 9789819982776
9819982774
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910831015103321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Texts and Readings in Mathematics, . 2366-8725 ; ; 48