Publicado por CAMBRIDGE U.P., CAMBRIDGE, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Idioma: Inglés
Librería: Antártica, Madrid, M, España
EUR 24,00
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Añadir al carritoCartoné (tapa dura cartón). Condición: New. Estado de la sobrecubierta: Nuevo. 01. LIBRO.
Publicado por HINDUSTAN, 2022
ISBN 10: 819519611X ISBN 13: 9788195196111
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 25,62
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Añadir al carritoCondición: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Publicado por Hindustan Book Agency, 2022
ISBN 10: 819519611X ISBN 13: 9788195196111
Librería: Vedams eBooks (P) Ltd, New Delhi, India
EUR 10,18
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Añadir al carritoHardcover. Condición: 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.
Publicado por Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Idioma: Inglés
Librería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
EUR 44,02
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Añadir al carritoHardback. Condición: 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.
Publicado por Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Idioma: Inglés
Librería: Basi6 International, Irving, TX, Estados Unidos de America
EUR 47,31
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Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Publicado por Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Idioma: Inglés
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 79,02
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Publicado por Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Idioma: Inglés
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 82,26
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Publicado por Springer Nature Singapore, Springer Nature Singapore, 2025
ISBN 10: 9819982790 ISBN 13: 9789819982790
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 90,34
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Añadir al carritoTaschenbuch. Condición: 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.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 107,15
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 164 pages. 9.25x6.00x0.50 inches. In Stock.
Publicado por Springer Nature Singapore, Springer Nature Singapore Feb 2025, 2025
ISBN 10: 9819982790 ISBN 13: 9789819982790
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 85,59
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Añadir al carritoTaschenbuch. Condición: 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.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 120,52
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Publicado por Springer Nature Singapore, Springer Nature Singapore, 2024
ISBN 10: 9819982766 ISBN 13: 9789819982769
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 122,12
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Añadir al carritoBuch. Condición: 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.
Publicado por Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Idioma: Inglés
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 72,34
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 131,77
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 132,76
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Springer Nature Singapore, Springer Nature Singapore Feb 2024, 2024
ISBN 10: 9819982766 ISBN 13: 9789819982769
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 117,69
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Añadir al carritoBuch. Condición: 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.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 162,79
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Añadir al carritoCondición: New. 2nd ed. 2023 edition NO-PA16APR2015-KAP.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 168,91
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Añadir al carritoHardcover. Condición: Brand New. 2nd edition. 288 pages. 9.25x6.10x0.71 inches. In Stock.
Publicado por Springer Verlag, Singapore, Singapore, 2024
ISBN 10: 9819982766 ISBN 13: 9789819982769
Idioma: Inglés
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
EUR 134,10
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Añadir al carritoHardcover. Condición: 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.
Publicado por Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Idioma: Inglés
Librería: Toscana Books, AUSTIN, TX, Estados Unidos de America
EUR 180,68
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Añadir al carritoHardcover. Condición: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Librería: Antikvariat Faust, Göteborg, Suecia
EUR 55,42
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Añadir al carritoHindustan Book Agency, New Delhi 2008. ix, 164, (2) pp. Hardcover. Fine condition. (Text and Readings in Mathematics 48).
Publicado por Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 82,51
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Añadir al carritoHardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 410.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 78,08
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 164 pages. 9.25x6.00x0.50 inches. In Stock. This item is printed on demand.
Publicado por Springer Nature Singapore, Springer Nature Singapore Feb 2025, 2025
ISBN 10: 9819982790 ISBN 13: 9789819982790
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 85,59
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Añadir al carritoTaschenbuch. Condición: 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.
Publicado por Springer Nature Singapore, 2024
ISBN 10: 9819982766 ISBN 13: 9789819982769
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 98,54
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Añadir al carritoCondición: 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.
Publicado por Springer Nature Singapore, Springer Nature Singapore Feb 2024, 2024
ISBN 10: 9819982766 ISBN 13: 9789819982769
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 117,69
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Añadir al carritoBuch. Condición: 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.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 126,58
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 128,63
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Librería: Majestic Books, Hounslow, Reino Unido
EUR 171,84
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 173,28
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Añadir al carritoCondición: New. PRINT ON DEMAND.