Stochastic Approximation and Recursive Algorithms and Applications (Stochastic Modelling and Applied Probability)

Kushner, Harold J.; Yin, G. George

ISBN 10: 1441918477 ISBN 13: 9781441918475

Verlag: Springer, 2010

Neu Softcover

Verk�ufer Ria Christie Collections, Uxbridge, Vereinigtes K�nigreich Verk�uferbewertung 5 von 5 Sternen

AbeBooks-Verk�ufer seit 25. M�rz 2015

Dieser Artikel ist nicht mehr verf�gbar.

Alle Artikel dieses Verk�ufers anzeigen Ein Kaufgesuch f�r �hnliche Artikel erstellen

Alle Exemplare dieses Buches anzeigen

Beschreibung

In English. Bestandsnummer des Verk�ufers ria9781441918475_new

Diesen Artikel melden

Inhaltsangabe:

The book presents a thorough development of the modern theory of stochastic approximation or recursive stochastic algorithms for both constrained and unconstrained problems. The assumptions and proof methods are designed to cover the needs of recent applications. The development proceeds from simple to complex problems, allowing the underlying ideas to be more easily understood. Many examples illustrate the application of the theory. This second edition is a thorough revision, although the main features and the structure remain unchanged. It contains many additional applications and results, and more detailed discussion.

�ber die Autorin bzw. den Autor: Charlotte y Peter Fiell son dos autoridades en historia, teor�a y cr�tica del dise�o y han escrito m�s de sesenta libros sobre la materia, muchos de los cuales se han convertido en �xitos de ventas. Tambi�n han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Dise�o del siglo XX, El dise�o industrial de la A a la Z, Scandinavian Design y Dise�o del siglo XXI.

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.

Bibliografische Details

Titel: Stochastic Approximation and Recursive ...
Verlag: Springer
Erscheinungsdatum: 2010
Einband: Softcover
Zustand: New
Auflage: 2. Auflage

Beste Suchergebnisse bei AbeBooks

Beispielbild f�r diese ISBN

Stochastic Approximation and Recursive Algorithms and Applications.

Kushner, Harold J.

Verlag: New York, NY, Springer New York., 2010

ISBN 10: 1441918477 ISBN 13: 9781441918475

Gebraucht Softcover

Anbieter: Universit�tsbuchhandlung Herta Hold GmbH, Berlin, Deutschland

Verk�uferbewertung 5 von 5 Sternen

2., nd ed. Softcover version of original hardcover edition 2003. 235 mm x 155 mm, 744 g. XXII, 474 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband besto�en, daher M�ngelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stochastic Modelling and Applied Probability, 35. Sprache: Englisch. Bestandsnummer des Verk�ufers 2691LB

Verk�ufer kontaktieren

Gebraucht kaufen

EUR 22,00

EUR 30,00 shipping
Versand von Deutschland nach USA

Anzahl: 2 verf�gbar

In den Warenkorb

Foto des Verk�ufers

Stochastic Approximation and Recursive Algorithms and Applications

G. George Yin

Verlag: Springer New York Nov 2010, 2010

ISBN 10: 1441918477 ISBN 13: 9781441918475

Neu Taschenbuch

Print-on-Demand

Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland

Verk�uferbewertung 5 von 5 Sternen

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a thorough development of the modern theory of stochastic approximation or recursive stochastic algorithms for both constrained and unconstrained problems. This second edition is a thorough revision, although the main features and structure remain unchanged. It contains many additional applications and results as well as more detailed discussion. 500 pp. Englisch. Bestandsnummer des Verk�ufers 9781441918475

Verk�ufer kontaktieren

Neu kaufen

EUR 160,49

EUR 23,00 shipping
Versand von Deutschland nach USA

Anzahl: 2 verf�gbar

In den Warenkorb

Foto des Verk�ufers

Stochastic Approximation and Recursive Algorithms and Applications

Harold Kushner|G. George Yin

Verlag: Springer New York, 2010

ISBN 10: 1441918477 ISBN 13: 9781441918475

Neu Softcover

Print-on-Demand

Anbieter: moluna, Greven, Deutschland

Verk�uferbewertung 4 von 5 Sternen

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents a thorough development of the modern theory of stochastic approximation or recursive stochastic algorithms for both constrained and unconstrained problems. This second edition is a thorough revision, although the main features and stru. Bestandsnummer des Verk�ufers 4172421

Verk�ufer kontaktieren

Neu kaufen

EUR 180,07

EUR 48,99 shipping
Versand von Deutschland nach USA

Anzahl: Mehr als 20 verf�gbar

In den Warenkorb

Beispielbild f�r diese ISBN

Stochastic Approximation and Recursive Algorithms and Applications (Stochastic Modelling and Applied Probability)

Kushner, Harold J.

Verlag: Springer, 2010

ISBN 10: 1441918477 ISBN 13: 9781441918475

Neu Softcover

Anbieter: GoldBooks, Denver, CO, USA

Verk�uferbewertung 5 von 5 Sternen

Zustand: new. Bestandsnummer des Verk�ufers 39U60_71_1441918477

Verk�ufer kontaktieren

Neu kaufen

EUR 184,75

EUR 3,62 shipping
Versand innerhalb von USA

Anzahl: 1 verf�gbar

In den Warenkorb

Foto des Verk�ufers

Stochastic Approximation and Recursive Algorithms and Applications

Harold Kushner (u. a.)

Verlag: Springer, 2010

ISBN 10: 1441918477 ISBN 13: 9781441918475

Neu Taschenbuch

Anbieter: preigu, Osnabr�ck, Deutschland

Verk�uferbewertung 5 von 5 Sternen

Verk�ufer kontaktieren

Neu kaufen

EUR 186,80

EUR 70,00 shipping
Versand von Deutschland nach USA

Anzahl: 5 verf�gbar

In den Warenkorb

Beispielbild f�r diese ISBN

Stochastic Approximation and Recursive Algorithms and Applications (Stochastic Modelling and Applied Probability)

Kushner, Harold J.; Yin, G. George

Verlag: Springer, 2010

ISBN 10: 1441918477 ISBN 13: 9781441918475

Neu Softcover

Anbieter: Lucky's Textbooks, Dallas, TX, USA

Verk�uferbewertung 5 von 5 Sternen

Zustand: New. Bestandsnummer des Verk�ufers ABLIING23Mar2411530293679

Verk�ufer kontaktieren

Neu kaufen

EUR 202,33

EUR 3,40 shipping
Versand innerhalb von USA

Anzahl: Mehr als 20 verf�gbar

In den Warenkorb

Foto des Verk�ufers

Stochastic Approximation and Recursive Algorithms and Applications

G. George Yin

Verlag: Springer New York, Springer US Nov 2010, 2010

ISBN 10: 1441918477 ISBN 13: 9781441918475

Neu Taschenbuch

Print-on-Demand

Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland

Verk�uferbewertung 5 von 5 Sternen

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The basic stochastic approximation algorithms introduced by Robbins and MonroandbyKieferandWolfowitzintheearly1950shavebeenthesubject of an enormous literature, both theoretical and applied. This is due to the large number of applications and the interesting theoretical issues in the analysis of �dynamically de ned� stochastic processes. The basic paradigm is a stochastic di erence equation such as = + Y , where takes n+1 n n n n its values in some Euclidean space, Y is a random variable, and the �step n size� > 0 is small and might go to zero as n . In its simplest form, n is a parameter of a system, and the random vector Y is a function of n �noise-corrupted� observations taken on the system when the parameter is set to . One recursively adjusts the parameter so that some goal is met n asymptotically. Thisbookisconcernedwiththequalitativeandasymptotic properties of such recursive algorithms in the diverse forms in which they arise in applications. There are analogous continuous time algorithms, but the conditions and proofs are generally very close to those for the discrete time case. The original work was motivated by the problem of nding a root of a continuous function g ( ), where the function is not known but the - perimenter is able to take �noisy� measurements at any desired value of . Recursive methods for root nding are common in classical numerical analysis, and it is reasonable to expect that appropriate stochastic analogs would also perform well.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 500 pp. Englisch. Bestandsnummer des Verk�ufers 9781441918475

Verk�ufer kontaktieren

Neu kaufen

EUR 213,99

EUR 60,00 shipping
Versand von Deutschland nach USA

Anzahl: 1 verf�gbar

In den Warenkorb

Foto des Verk�ufers

Stochastic Approximation and Recursive Algorithms and Applications

G. George Yin

Verlag: Springer New York, Springer US, 2010

ISBN 10: 1441918477 ISBN 13: 9781441918475

Neu Taschenbuch

Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

Verk�uferbewertung 5 von 5 Sternen

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The basic stochastic approximation algorithms introduced by Robbins and MonroandbyKieferandWolfowitzintheearly1950shavebeenthesubject of an enormous literature, both theoretical and applied. This is due to the large number of applications and the interesting theoretical issues in the analysis of 'dynamically de ned' stochastic processes. The basic paradigm is a stochastic di erence equation such as = + Y , where takes n+1 n n n n its values in some Euclidean space, Y is a random variable, and the 'step n size' > 0 is small and might go to zero as n . In its simplest form, n is a parameter of a system, and the random vector Y is a function of n 'noise-corrupted' observations taken on the system when the parameter is set to . One recursively adjusts the parameter so that some goal is met n asymptotically. Thisbookisconcernedwiththequalitativeandasymptotic properties of such recursive algorithms in the diverse forms in which they arise in applications. There are analogous continuous time algorithms, but the conditions and proofs are generally very close to those for the discrete time case. The original work was motivated by the problem of nding a root of a continuous function g ( ), where the function is not known but the - perimenter is able to take 'noisy' measurements at any desired value of . Recursive methods for root nding are common in classical numerical analysis, and it is reasonable to expect that appropriate stochastic analogs would also perform well. Bestandsnummer des Verk�ufers 9781441918475

Verk�ufer kontaktieren