Abstract
Dynamic programming is a technique for solving optimization problems introduced by Bellman [1]. This technique represents a problem as a process evolving from state to state through successive decisions. The problem then becomes one of finding an optimal policy, i.e. an optimal sequence of decisions, which can be obtained by solving a functional equation.
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References
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Martelli, A. and Montanari, U., Problem Solving as a Foundation for Dynamic Programming, in preparation.
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© 1975 CISM, Udine
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Martelli, A., Montanari, U. (1975). On the Foundations of Dynamic Programming. In: Rinaldi, S. (eds) Topics in Combinatorial Optimization. CISM International Centre for Mechanical Sciences, vol 175. Springer, Vienna. https://doi.org/10.1007/978-3-7091-3291-3_9
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DOI: https://doi.org/10.1007/978-3-7091-3291-3_9
Publisher Name: Springer, Vienna
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