A new effective dynamic program for an investment optimization problem

A new effective dynamic program for an investment optimization problem

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Article ID: iaor20163581
Volume: 77
Issue: 9
Start Page Number: 1633
End Page Number: 1648
Publication Date: Sep 2016
Journal: Automation and Remote Control
Authors: , , ,
Keywords: programming: dynamic, combinatorial optimization, graphs
Abstract:

After a series of publications of T.E. O’Neil et al. (e.g. in 2010), dynamic programming seems to be the most promising way to solve knapsack problems. Some techniques are known to make dynamic programming algorithms (DPA) faster. One of them is the graphical method that deals with piecewise linear Bellman functions. For some problems, it was previously shown that the graphical algorithm has a smaller running time in comparison with the classical DPA and also some other advantages. In this paper, an exact graphical algorithm (GrA) and a fully polynomial‐time approximation scheme based on it are presented for an investment optimization problem having the best known running time. The algorithms are based on new Bellman functional equations and a new way of implementing the GrA.

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