Applicable stochastic control: From theory to practice

It is divided into the following sections: Introduction; A managerial framework for stochastic control; Modelling stochastic control problems; Formulating stochastic control problems; Analytic solution techniques; Stochastic dynamic programming; Maximum principle approach; Numerical techniques; Discretization; Markov decision problem formulation of stochastic control problems; Two stochastic control problems solved; The multi-armed bandit; Purchasing options.