Publicado por CAMBRIDGE U.P., CAMBRIDGE, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Idioma: Inglés
Librería: Antártica, Madrid, M, España
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Añadir al carritoCartoné (tapa dura cartón). Condición: New. Estado de la sobrecubierta: Nuevo. 01. LIBRO.
Publicado por Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Idioma: Inglés
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 48,08
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Añadir al carritoCondición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Publicado por Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Idioma: Inglés
Librería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
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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
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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 78,40
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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
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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
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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 122,09
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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 72,69
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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.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 132,43
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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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 163,57
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Añadir al carritoCondición: New. 2nd ed. 2023 edition NO-PA16APR2015-KAP.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 169,75
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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 134,78
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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 188,65
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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 55,24
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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 80,95
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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 77,46
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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 128,22
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 130,82
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Librería: Majestic Books, Hounslow, Reino Unido
EUR 172,65
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 173,28
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