Edité par LAP LAMBERT Academic Publishing, 2024
ISBN 10 : 6207653025 ISBN 13 : 9786207653027
Langue: anglais
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Edité par LAP LAMBERT Academic Publishing, 2024
ISBN 10 : 6207653025 ISBN 13 : 9786207653027
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Edité par LAP LAMBERT Academic Publishing Jun 2024, 2024
ISBN 10 : 6207653025 ISBN 13 : 9786207653027
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -This book delves into the comprehensive construction of the Itô theory concerning stochastic integration and its pivotal role, particularly within the framework of stochastic differential equations. The book meticulously examines the distinctive properties of this integral, along with their respective extensions of the Itô formula, elucidating their significance in various theoretical and practical contexts. Furthermore, the integration theories are seamlessly integrated into the realm of stochastic differential equations, paving the way for examining complex phenomena such as epidemic models, and ecological models. In this context, the book proposes some original theorems to address pertinent issues about its implications within the framework of stochastic differential equations. Through rigorous construction analysis, this book contributes to the advancement of stochastic calculus theory, offering insights into its application in dynamical population modeling.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch.
Edité par LAP LAMBERT Academic Publishing, 2024
ISBN 10 : 6207653025 ISBN 13 : 9786207653027
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. An Introduction to Stochastic Integration and Itô Calculus | Stochastic Integration and Itô Calculus | Adel Settati (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207653027 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Edité par LAP LAMBERT Academic Publishing Jun 2024, 2024
ISBN 10 : 6207653025 ISBN 13 : 9786207653027
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book delves into the comprehensive construction of the Itô theory concerning stochastic integration and its pivotal role, particularly within the framework of stochastic differential equations. The book meticulously examines the distinctive properties of this integral, along with their respective extensions of the Itô formula, elucidating their significance in various theoretical and practical contexts. Furthermore, the integration theories are seamlessly integrated into the realm of stochastic differential equations, paving the way for examining complex phenomena such as epidemic models, and ecological models. In this context, the book proposes some original theorems to address pertinent issues about its implications within the framework of stochastic differential equations. Through rigorous construction analysis, this book contributes to the advancement of stochastic calculus theory, offering insights into its application in dynamical population modeling. 88 pp. Englisch.
Edité par LAP LAMBERT Academic Publishing, 2024
ISBN 10 : 6207653025 ISBN 13 : 9786207653027
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book delves into the comprehensive construction of the Itô theory concerning stochastic integration and its pivotal role, particularly within the framework of stochastic differential equations. The book meticulously examines the distinctive properties of this integral, along with their respective extensions of the Itô formula, elucidating their significance in various theoretical and practical contexts. Furthermore, the integration theories are seamlessly integrated into the realm of stochastic differential equations, paving the way for examining complex phenomena such as epidemic models, and ecological models. In this context, the book proposes some original theorems to address pertinent issues about its implications within the framework of stochastic differential equations. Through rigorous construction analysis, this book contributes to the advancement of stochastic calculus theory, offering insights into its application in dynamical population modeling.