1. Y. Ermoliev, R. Wets (eds.), Numerical Techniques for Stochastic Optimization (Springer, Berlin, 1988)
2. A. Ruszczyński, A. Shapiro (eds.), Stochastic Programming. Handbooks in OR & MS, vol. 10 (Elsvier, Amsterdam, 2003)
3. A. Shapiro, D. Dentcheva, A. Ruszczyński, Lectures on Stochastic Programming: Modeling and Theory (SIAM, Philadelphia, 2009)
4. W.B. Powell, Approximate Dynamic Programming. Solving the Curses of Dimensionality, 2nd edn. (Wiley, Hoboken, 2011)
5. L.G. Gubenko, E.S. Shtatland, On discrete time Markov decision processes. Teoriya veroyatnostey i matematicheskaya statistika (In Russian), in Theory of Probability and Mathematical Statistics, vol. 7 (Kyiv State University, Kyiv, 1972), pp. 51–64