Hardcover. Zustand: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verk�ufers 9789819982769

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Stochastic Approximation: A Dynamical Systems Viewpoint

Vivek S. Borkar

Verlag: Springer Nature Singapore, Springer Nature Singapore Feb 2024, 2024

ISBN 10: 9819982766 ISBN 13: 9789819982769

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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 292 pp. Englisch. Bestandsnummer des Verk�ufers 9789819982769

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Stochastic Approximation: A Dynamical Systems Viewpoint

Vivek S. Borkar

Verlag: Springer Nature Singapore, 2024

ISBN 10: 9819982766 ISBN 13: 9789819982769

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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a comprehensive view of the ODE-based approach for the analysis of stochastic approximation algorithmsDiscusses important themes on stability tests, concentration bounds, and avoidance of trapsCovers very recent developments with c. Bestandsnummer des Verk�ufers 1171875375

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Stochastic Approximation. a Dynamical Systems Viewpoint

Borkar, Vivek S.

Verlag: Springer, 2024

ISBN 10: 9819982766 ISBN 13: 9789819982769

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Stochastic Approximation: A Dynamical Systems Viewpoint

Vivek S. Borkar

Verlag: Springer Nature Singapore, Springer Nature Singapore, 2024

ISBN 10: 9819982766 ISBN 13: 9789819982769

Neu Hardcover

Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Bestandsnummer des Verk�ufers 9789819982769

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