Numerical Methods for Stochastic Control Problems in Continuous Time / Stochastic Modelling and Applied Probability Bd.24 (PDF)
(Sprache: Englisch)
This book is concerned with numerical methods for stochastic control and optimal stochastic control problems. The random process models of the controlled or uncontrolled stochastic systems are either diffusions or jump diffusions. Stochastic control is a...
sofort als Download lieferbar
eBook (pdf)
Fr. 106.50
inkl. MwSt.
- Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Numerical Methods for Stochastic Control Problems in Continuous Time / Stochastic Modelling and Applied Probability Bd.24 (PDF)“
This book is concerned with numerical methods for stochastic control and optimal stochastic control problems. The random process models of the controlled or uncontrolled stochastic systems are either diffusions or jump diffusions. Stochastic control is a very active area of research and new prob lem formulations and sometimes surprising applications appear regularly. We have chosen forms of the models which cover the great bulk of the for mulations of the continuous time stochastic control problems which have appeared to date. The standard formats are covered, but much emphasis is given to the newer and less well known formulations. The controlled process might be either stopped or absorbed on leaving a constraint set or upon first hitting a target set, or it might be reflected or "projected" from the boundary of a constraining set. In some of the more recent applications of the reflecting boundary problem, for example the so-called heavy traffic approximation problems, the directions of reflection are actually discontin uous. In general, the control might be representable as a bounded function or it might be of the so-called impulsive or singular control types. Both the "drift" and the "variance" might be controlled. The cost functions might be any of the standard types: Discounted, stopped on first exit from a set, finite time, optimal stopping, average cost per unit time over the infinite time interval, and so forth.
Bibliographische Angaben
- Autoren: Harold Kushner , Paul G. Dupuis
- 2012, 1992, 439 Seiten, Englisch
- Verlag: Springer, New York
- ISBN-10: 1468404415
- ISBN-13: 9781468404418
- Erscheinungsdatum: 06.12.2012
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Grösse: 38 MB
- Mit Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Kommentar zu "Numerical Methods for Stochastic Control Problems in Continuous Time / Stochastic Modelling and Applied Probability Bd.24"
0 Gebrauchte Artikel zu „Numerical Methods for Stochastic Control Problems in Continuous Time / Stochastic Modelling and Applied Probability Bd.24“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Numerical Methods for Stochastic Control Problems in Continuous Time / Stochastic Modelling and Applied Probability Bd.24".
Kommentar verfassen