Verlag: CAMBRIDGE U.P., CAMBRIDGE, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Sprache: Englisch
Anbieter: Antártica, Madrid, M, Spanien
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In den WarenkorbCartoné (tapa dura cartón). Zustand: New. Zustand des Schutzumschlags: Nuevo. 01. LIBRO.
Verlag: Hindustan Book Agency, 2022
ISBN 10: 819519611X ISBN 13: 9788195196111
Anbieter: Vedams eBooks (P) Ltd, New Delhi, Indien
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In den WarenkorbHardcover. Zustand: 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.
Verlag: Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Sprache: Englisch
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In den WarenkorbHardback. Zustand: 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.
Verlag: Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Sprache: Englisch
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In den WarenkorbZustand: 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.
Verlag: Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Sprache: Englisch
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In den WarenkorbZustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Verlag: Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Sprache: Englisch
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Verlag: Springer Nature Singapore, Springer Nature Singapore Feb 2025, 2025
ISBN 10: 9819982790 ISBN 13: 9789819982790
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: 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.
Verlag: Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Sprache: Englisch
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Verlag: Springer Nature Singapore, Springer Nature Singapore, 2025
ISBN 10: 9819982790 ISBN 13: 9789819982790
Sprache: Englisch
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In den WarenkorbTaschenbuch. 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.
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 164 pages. 9.25x6.00x0.50 inches. In Stock.
Verlag: Springer Nature Singapore, Springer Nature Singapore Feb 2024, 2024
ISBN 10: 9819982766 ISBN 13: 9789819982769
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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In den WarenkorbBuch. Zustand: 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.
Verlag: Springer Nature Singapore, Springer Nature Singapore, 2024
ISBN 10: 9819982766 ISBN 13: 9789819982769
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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In den WarenkorbBuch. 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.
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In den WarenkorbZustand: New. 2nd ed. 2023 edition NO-PA16APR2015-KAP.
Verlag: Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: Brand New. 2nd edition. 288 pages. 9.25x6.10x0.71 inches. In Stock.
Verlag: Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Verlag: Springer Verlag, Singapore, Singapore, 2024
ISBN 10: 9819982766 ISBN 13: 9789819982769
Sprache: Englisch
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In den WarenkorbHardcover. 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.
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In den WarenkorbHindustan Book Agency, New Delhi 2008. ix, 164, (2) pp. Hardcover. Fine condition. (Text and Readings in Mathematics 48).
Verlag: Springer Nature Singapore, Springer Nature Singapore Feb 2025, 2025
ISBN 10: 9819982790 ISBN 13: 9789819982790
Sprache: Englisch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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In den WarenkorbTaschenbuch. 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.
Verlag: Cambridge University Press, 2008
ISBN 10: 0521515920 ISBN 13: 9780521515924
Sprache: Englisch
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
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In den WarenkorbHardback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 410.
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 164 pages. 9.25x6.00x0.50 inches. In Stock. This item is printed on demand.
Verlag: Springer Nature Singapore, 2024
ISBN 10: 9819982766 ISBN 13: 9789819982769
Sprache: Englisch
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In den WarenkorbZustand: 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.
Verlag: Springer Nature Singapore, Springer Nature Singapore Feb 2024, 2024
ISBN 10: 9819982766 ISBN 13: 9789819982769
Sprache: Englisch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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In den WarenkorbBuch. 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.
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