Abstract
A class of stochastic optimal control problems involving optimal stopping is considered. Methods of Krylov (Appl. Math. Optim. 52(3):365–399, 2005) are adapted to investigate the numerical solutions of the corresponding normalized Bellman equations and to estimate the rate of convergence of finite difference approximations for the optimal reward functions.
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Gyöngy, I., Šiška, D. On Finite-Difference Approximations for Normalized Bellman Equations. Appl Math Optim 60, 297–339 (2009). https://doi.org/10.1007/s00245-009-9082-0
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DOI: https://doi.org/10.1007/s00245-009-9082-0