Stochastic Control in Discrete and Continuous Time

This book provides a comprehensive introduction to stochastic control problems in discrete and continuous time. The material is presented logically, beginning with the discrete-time case before proceeding to the stochastic continuous-time models. Central themes are dynamic programming in discrete ti...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Seierstad, Atle (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2009.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 02903nam a22005055i 4500
001 978-0-387-76617-1
003 DE-He213
005 20151204164414.0
007 cr nn 008mamaa
008 100701s2009 xxu| s |||| 0|eng d
020 |a 9780387766171  |9 978-0-387-76617-1 
024 7 |a 10.1007/978-0-387-76617-1  |2 doi 
040 |d GrThAP 
050 4 |a QA273.A1-274.9 
050 4 |a QA274-274.9 
072 7 |a PBT  |2 bicssc 
072 7 |a PBWL  |2 bicssc 
072 7 |a MAT029000  |2 bisacsh 
082 0 4 |a 519.2  |2 23 
100 1 |a Seierstad, Atle.  |e author. 
245 1 0 |a Stochastic Control in Discrete and Continuous Time  |h [electronic resource] /  |c by Atle Seierstad. 
264 1 |a Boston, MA :  |b Springer US,  |c 2009. 
300 |a X, 222 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Stochastic Control over Discrete Time -- The HJB Equation for Deterministic Control -- Piecewise Deterministic Optimal Control Problems -- Control of Diffusions -- Appendix: Probability, Concepts, and Results. 
520 |a This book provides a comprehensive introduction to stochastic control problems in discrete and continuous time. The material is presented logically, beginning with the discrete-time case before proceeding to the stochastic continuous-time models. Central themes are dynamic programming in discrete time and HJB-equations in continuous time. Topics covered include stochastic maximum principles for discrete time and continuous time, even for problems with terminal conditions. Numerous illustrative examples and exercises, with solutions at the end of the book, are included to enhance the understanding of the reader. By interlinking many fields in stochastic control, the material gives the student the opportunity to see the connections between different fields and the underlying ideas that unify them. This text will benefit students in applied mathematics, economics, engineering, and related fields. Prerequisites include a course in calculus and elementary probability theory. No knowledge of measure theory is assumed. 
650 0 |a Mathematics. 
650 0 |a System theory. 
650 0 |a Calculus of variations. 
650 0 |a Probabilities. 
650 0 |a Economic theory. 
650 1 4 |a Mathematics. 
650 2 4 |a Probability Theory and Stochastic Processes. 
650 2 4 |a Economic Theory/Quantitative Economics/Mathematical Methods. 
650 2 4 |a Calculus of Variations and Optimal Control; Optimization. 
650 2 4 |a Systems Theory, Control. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9780387766164 
856 4 0 |u http://dx.doi.org/10.1007/978-0-387-76617-1  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)