Applied Stochastic Control of Jump Diffusions

The main purpose of the book is to give a rigorous, yet mostly nontechnical, introduction to the most important and useful solution methods of various types of stochastic control problems for jump diffusions and its applications. The types of control problems covered include classical stochastic con...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Øksendal, Bernt (Συγγραφέας), Sulem, Agnès (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
Σειρά:Universitext
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Øksendal, Bernt.  |e author. 
245 1 0 |a Applied Stochastic Control of Jump Diffusions  |h [electronic resource] /  |c by Bernt Øksendal, Agnès Sulem. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2007. 
300 |a XIV, 262 p. 27 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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338 |a online resource  |b cr  |2 rdacarrier 
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490 1 |a Universitext 
505 0 |a Stochastic Calculus with Jump Diffusions -- Optimal Stopping of Jump Diffusions -- Stochastic Control of Jump Diffusions -- Combined Optimal Stopping and Stochastic Control of Jump Diffusions -- Singular Control for Jump Diffusions -- Impulse Control of Jump Diffusions -- Approximating Impulse Control by Iterated Optimal Stopping -- Combined Stochastic Control and Impulse Control of Jump Diffusions -- Viscosity Solutions -- Optimal Control of Random Jump Fields and Partial Information Control -- Solutions of Selected Exercises. 
520 |a The main purpose of the book is to give a rigorous, yet mostly nontechnical, introduction to the most important and useful solution methods of various types of stochastic control problems for jump diffusions and its applications. The types of control problems covered include classical stochastic control, optimal stopping, impulse control and singular control. Both the dynamic programming method and the maximum principle method are discussed, as well as the relation between them. Corresponding verification theorems involving the Hamilton-Jacobi Bellman equation and/or (quasi-)variational inequalities are formulated. There are also chapters on the viscosity solution formulation and numerical methods. The text emphasises applications, mostly to finance. All the main results are illustrated by examples and exercises appear at the end of each chapter with complete solutions. This will help the reader understand the theory and see how to apply it. The book assumes some basic knowledge of stochastic analysis, measure theory and partial differential equations. In the 2nd edition there is a new chapter on optimal control of stochastic partial differential equations driven by Lévy processes. There is also a new section on optimal stopping with delayed information. Moreover, corrections and other improvements have been made. 
650 0 |a Mathematics. 
650 0 |a Operator theory. 
650 0 |a Economics, Mathematical. 
650 0 |a Operations research. 
650 0 |a Management science. 
650 0 |a Probabilities. 
650 1 4 |a Mathematics. 
650 2 4 |a Probability Theory and Stochastic Processes. 
650 2 4 |a Operations Research, Management Science. 
650 2 4 |a Operator Theory. 
650 2 4 |a Quantitative Finance. 
700 1 |a Sulem, Agnès.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783540698258 
830 0 |a Universitext 
856 4 0 |u http://dx.doi.org/10.1007/978-3-540-69826-5  |z Full Text via HEAL-Link 
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950 |a Mathematics and Statistics (Springer-11649)