EUR 130,14
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Springer Verlag, Singapore, Singapore, 2024
ISBN 10: 9819982766 ISBN 13: 9789819982769
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: 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.
EUR 130,40
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 2nd ed. 2023 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore Feb 2024, 2024
ISBN 10: 9819982766 ISBN 13: 9789819982769
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 117,69
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 292 pp. Englisch.
EUR 167,79
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Aggiungi al carrelloHardcover. Condizione: Brand New. 2nd edition. 288 pages. 9.25x6.10x0.71 inches. In Stock.
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore, 2024
ISBN 10: 9819982766 ISBN 13: 9789819982769
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 122,12
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore Feb 2024, 2024
ISBN 10: 9819982766 ISBN 13: 9789819982769
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 117,69
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Da: moluna, Greven, Germania
EUR 98,54
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Aggiungi al carrelloCondizione: 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.
Da: Majestic Books, Hounslow, Regno Unito
EUR 151,49
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 154,87
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Da: preigu, Osnabrück, Germania
EUR 102,20
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Aggiungi al carrelloBuch. Condizione: Neu. Stochastic Approximation: A Dynamical Systems Viewpoint | Vivek S. Borkar | Buch | xv | Englisch | 2024 | Springer | EAN 9789819982769 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.