Stochastic Control Theory Dynamic Programming Principle /
This book offers a systematic introduction to the optimal stochastic control theory via the dynamic programming principle, which is a powerful tool to analyze control problems. First we consider completely observable control problems with finite horizons. Using a time discretization we construct a n...
| Main Author: | Nisio, Makiko (Author) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Tokyo :
Springer Japan : Imprint: Springer,
2015.
|
| Edition: | 2nd ed. 2015. |
| Series: | Probability Theory and Stochastic Modelling,
72 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Almost Periodic Stochastic Processes
by: Bezandry, Paul H., et al.
Published: (2011) -
Mathematical Analysis, Probability and Applications – Plenary Lectures ISAAC 2015, Macau, China /
Published: (2016) -
An Introduction to Infinite-Dimensional Analysis
by: Prato, Giuseppe Da
Published: (2006) -
Stochastic Optimal Control in Infinite Dimension Dynamic Programming and HJB Equations /
by: Fabbri, Giorgio, et al.
Published: (2017) -
Analysis and Geometry of Markov Diffusion Operators
by: Bakry, Dominique, et al.
Published: (2014)