Abstract
This paper presents a survey on some of the recent progress on numerical solutions for controlled switching diffusions. We begin by recalling the basics of switching diffusions and controlled switching diffusions. We then present regular controls and singular controls. The main objective of this paper is to provide a survey on some recent advances on Markov chain approximation methods for solving stochastic control problems numerically. A number of applications in insurance, mathematical biology, epidemiology, and economics are presented. Several numerical examples are provided for demonstration.
| Original language | English |
|---|---|
| Pages (from-to) | 213-253 |
| Number of pages | 41 |
| Journal | Numerical Algebra, Control and Optimization |
| Volume | 12 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Jun 2022 |
Keywords
- Markov chain approximation
- deep learning
- singular control
- harvesting
- SIS model
- debt management
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