The aim of the paper is to address the problems of applied mathematics related to the choice of an optimal policy in decision-making. The concept of dynamic programming is defined and discussed in relation to the problems occurring in networks, inventory, equipment replacement, resource allocation, cargo loading (or knapsack), etc. The issues of dynamic programming recursions are addressed. Conclusions are made about the efficiency of dynamic programming for finding optimal solutions to a problem.
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