Mathematical Control Theory and Finance

This book highlights recent developments in mathematical control theory and its applications to finance. It presents a collection of original contributions by distinguished scholars, addressing a large spectrum of problems and techniques. Control theory provides a large set of theoretical and comput...

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Главный автор: Sarychev, Andrey
Соавтор: Workshop on Mathematical Control Theory and Finance (Автор)
Другие авторы: Širâev, Al½bert Nikolaevič, 1934- (Публикующий директор), Guerra, Manuel (Публикующий директор), Grossinho, Maria do Rosário (Публикующий директор)
Формат: Livre numérique
Язык:Anglais
Опубликовано: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Редактирование:1st ed. 2008.
Предметы:
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Примечание: L'impression du document génère 427 p.
Autre contributeur : Maria do Rosário Grossinh (éditeur scientifique)
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Mathematical Control Theory and Finance, Texte imprimé, 9783540865766
• Mathematical Control Theory and Finance, Texte imprimé, 9783642089084
• Mathematical control theory and finance, Andrey Sarychev, Albert Shiryaev, Manuel Guerra,... [et al.], editors, 2008, Berlin, Springer, 1 vol. (XIII-420 p.), 978-3-540-69531-8
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100 1 |a Sarychev, Andrey. 
245 1 0 |a Mathematical Control Theory and Finance   |c Andrey Sarychev, Albert Shiryaev, Manuel Guerra, 
250 |a 1st ed. 2008. 
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504 |a Notes bilbiogr. 
505 1 |a Extremals Flows and Infinite Horizon Optimization Laplace Transforms and the American Call Option Time Change, Volatility, and Turbulence External Dynamical Equivalence of Analytic Control Systems On Option-Valuation in Illiquid Markets: Invariant Solutions to a Nonlinear Model Predicting the Time of the Ultimate Maximum for Brownian Motion with Drift A Stochastic Demand Model for Optimal Pricing of Non-Life Insurance Policies Optimality of Deterministic Policies for Certain Stochastic Control Problems with Multiple Criteria and Constraints Higher-Order Calculus of Variations on Time Scales Finding Invariants of Group Actions on Function Spaces, a General Methodology from Non-Abelian Harmonic Analysis Nonholonomic Interpolation for Kinematic Problems, Entropy and Complexity Instalment Options: A Closed-Form Solution and the Limiting Case Existence and Lipschitzian Regularity for Relaxed Minimizers Pricing of Defaultable Securities under Stochastic Interest Spline Cubatures for Expectations of Diffusion Processes and Optimal Stopping in Higher Dimensions (with Computational Finance in View) An Approximate Solution for Optimal Portfolio in Incomplete Markets Carleman Linearization of Linearly Observable Polynomial Systems Observability of Nonlinear Control Systems on Time Scales - Sufficient Conditions Sufficient Optimality Conditions for a Bang-bang Trajectory in a Bolza Problem Modelling Energy Markets with Extreme Spikes Generalized Bayesian Nonlinear Quickest Detection Problems: On Markov Family of Sufficient Statistics Necessary Optimality Condition for a Discrete Dead Oil Isotherm Optimal Control Problem Managing Operational Risk: Methodology and Prospects 
506 |a Accès en ligne pour les établissements français bénéficiaires des licences nationales 
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506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a This book highlights recent developments in mathematical control theory and its applications to finance. It presents a collection of original contributions by distinguished scholars, addressing a large spectrum of problems and techniques. Control theory provides a large set of theoretical and computational tools with applications in a wide range of fields, ranging from "pure" areas of mathematics up to applied sciences like finance. Stochastic optimal control is a well established and important tool of mathematical finance. Other branches of control theory have found comparatively less applications to financial problems, but the exchange of ideas and methods has intensified in recent years. This volume should contribute to establish bridges between these separate fields. The diversity of topics covered as well as the large array of techniques and ideas brought in to obtain the results make this volume a valuable resource for advanced students and researchers 
650 |a Commande stochastique 
650 |a Théorie de la commande 
650 |a Mathématiques financières 
700 1 |a Širâev, Al½bert Nikolaevič,  |d 1934-  |4 pbd 
700 1 |a Guerra, Manuel.  |4 pbd 
700 1 |a Grossinho, Maria do Rosário.  |4 pbd 
711 2 |a Workshop on Mathematical Control Theory and Finance  |d (2007  |c  :Lisbonne).  |4 aut 
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