This book is intended as an introduction to optimal stochastic control for continuous time Markov processes and to the theory of viscosity solutions. The authors approach stochastic control problems by the method of dynamic programming. The text provides an introduction to dynamic programming for deterministic optimal control problems, as well as to the corresponding theory of viscosity solutions. Also covered are controlled Markov diffusions and viscosity solutions of Hamilton-Jacobi-Bellman equations. The authors have tried, through illustrative examples and selective material, to connect stochastic control theory with other mathematical areas (e.g. large deviations theory) and with applications to engineering, physics, management, and finance.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
This book is an introduction to optimal stochastic control for continuous time Markov processes and the theory of viscosity solutions. It covers dynamic programming for deterministic optimal control problems, as well as to the corresponding theory of viscosity solutions. New chapters in this second edition introduce the role of stochastic optimal control in portfolio optimization and in pricing derivatives in incomplete markets and two-controller, zero-sum differential games.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Studibuch, Stuttgart, Allemagne
hardcover. Etat : Sehr gut. 443 Seiten; 9783540979272.2 Gewicht in Gramm: 1. N° de réf. du vendeur 1449783
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Vendeur : Buchpark, Trebbin, Allemagne
Etat : Sehr gut. Zustand: Sehr gut | Seiten: 428 | Sprache: Deutsch | Produktart: Bücher | Keine Beschreibung verfügbar. N° de réf. du vendeur 289295/202
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Vendeur : BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Allemagne
Etat : gut. 1993. Controlled Markov Processes and Viscosity Solutions (Stochastic Modelling and Applied Probability) In deutscher Sprache. pages. N° de réf. du vendeur BN713804
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