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Approximation and Solution Schemes for Stochastic Dynamic Optimization Problems freelancing Pratt's all-embracing account of religion'sOptimization and control problems often need to be formulated in a way that takes the uncertainty of the future into account in order to accurately reflect a "good" decision that can stand up to a variety of possible future outcomes. One way of including uncertainty in such problems treats the uncertain parameters as a random vector with an underlying probability distribution. Doing this creates a stochastic programming model which is inherently