Editore: Cambridge University Press 01/09/2008, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Lingua: Inglese
Da: AwesomeBooks, Wallingford, Regno Unito
EUR 12,05
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Aggiungi al carrelloCondizione: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
Editore: Cambridge University Press 01/09/2008, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Lingua: Inglese
Da: Bahamut Media, Reading, Regno Unito
EUR 12,05
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Aggiungi al carrelloCondizione: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.
Editore: Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Lingua: Inglese
Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
EUR 17,92
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Aggiungi al carrelloHardback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Editore: Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Lingua: Inglese
Da: WeBuyBooks, Rossendale, LANCS, Regno Unito
EUR 19,47
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Aggiungi al carrelloCondizione: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.
EUR 24,00
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Aggiungi al carrelloCartoné (tapa dura cartón). Condizione: New. Condizione sovraccoperta: Nuevo. 01. LIBRO.
Editore: Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Lingua: Inglese
Da: Toscana Books, AUSTIN, TX, U.S.A.
EUR 43,86
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Aggiungi al carrelloHardcover. Condizione: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Editore: Hindustan Book Agency, 2022
ISBN 10: 819519611X ISBN 13: 9788195196111
Da: Vedams eBooks (P) Ltd, New Delhi, India
EUR 10,47
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Aggiungi al carrelloHardcover. Condizione: New. Contents: 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. Topics in Analysis. 14. Ordinary Differential Equations. 15. Topics in Probability. This book gives a comprehensive treatment of stochastic approximation algorithms using their differential equation limits, which lays bare its dynamical aspects. Highlights of the book include a streamlined treatment of classical results such as the analysis of asymptotic behavior for decreasing and constant stepsizes and the functional central limit theorem, and inclusion of several important extensions and recent developments such as concentration bounds, avoidance of traps, stability tests, asynchronous implementations, differential inclusion limits, multiple time scales, and general noise models. In addition, major applications are surveyed category-wise, with special focus on stochastic gradient descent. The book will be a valuable resource to students, researchers, and practitioners in statistics, applied probability, control and communication engineering, operations research, machine learning and economic models.
Editore: Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Lingua: Inglese
Da: Basi6 International, Irving, TX, U.S.A.
EUR 50,55
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Aggiungi al carrelloCondizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Editore: Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 74,40
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Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 67,63
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Aggiungi al carrelloCondizione: New. In.
Editore: Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
EUR 84,60
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Aggiungi al carrelloCondizione: New.
EUR 109,60
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 164 pages. 9.25x6.00x0.50 inches. In Stock.
EUR 119,65
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Springer Nature Singapore, Springer Nature Singapore, 2025
ISBN 10: 9819982790 ISBN 13: 9789819982790
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 88,65
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Aggiungi al carrelloTaschenbuch. 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.
Da: Books Puddle, New York, NY, U.S.A.
EUR 128,84
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 120,69
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 136,49
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Aggiungi al carrelloCondizione: New.
Editore: Springer Verlag, Singapore, Singapore, 2024
ISBN 10: 9819982766 ISBN 13: 9789819982769
Lingua: Inglese
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
EUR 138,90
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. 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.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 129,98
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Aggiungi al carrelloCondizione: New.
Editore: Springer Nature Singapore, Springer Nature Singapore, 2024
ISBN 10: 9819982766 ISBN 13: 9789819982769
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 122,12
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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.
Da: Books Puddle, New York, NY, U.S.A.
EUR 161,74
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Aggiungi al carrelloCondizione: New. 2nd ed. 2023 edition NO-PA16APR2015-KAP.
EUR 172,80
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Aggiungi al carrelloHardcover. Condizione: Brand New. 2nd edition. 288 pages. 9.25x6.10x0.71 inches. In Stock.
EUR 56,62
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Aggiungi al carrelloHindustan Book Agency, New Delhi 2008. ix, 164, (2) pp. Hardcover. Fine condition. (Text and Readings in Mathematics 48).
Editore: Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 77,11
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 410.
Da: Revaluation Books, Exeter, Regno Unito
EUR 79,23
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 164 pages. 9.25x6.00x0.50 inches. In Stock. This item is printed on demand.
Editore: Springer Nature Singapore, Springer Nature Singapore Feb 2025, 2025
ISBN 10: 9819982790 ISBN 13: 9789819982790
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 85,59
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Aggiungi al carrelloTaschenbuch. 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: Majestic Books, Hounslow, Regno Unito
EUR 132,70
Convertire valutaQuantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Editore: Springer Nature Singapore, Springer Nature Singapore Feb 2024, 2024
ISBN 10: 9819982766 ISBN 13: 9789819982769
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 117,69
Convertire valutaQuantità: 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: Biblios, Frankfurt am main, HESSE, Germania
EUR 133,17
Convertire valutaQuantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
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.