On a functional equation of Bellman in the theory of dynamic programming.
Wolfgang Walter (1976)
Aequationes mathematicae
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Displaying similar documents to “Functional equations in dynamic programming.”
On a functional equation of Bellman in the theory of dynamic programming.
Multi-Objective Geometric Programming Problem and Its Applications
Sahidul Islam (2010)
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Contents of volume 35 issue 3
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Control and Cybernetics
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Multiobjective De Novo Linear Programming
Petr Fiala (2011)
Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica
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Mathematical programming under multiple objectives has emerged as a powerful tool to assist in the process of searching for decisions which best satisfy a multitude of conflicting objectives. In multiobjective linear programming problems it is usually impossible to optimize all objectives in a given system. Trade-offs are properties of inadequately designed system a thus can be eliminated through designing better one. Multiobjective De Novo linear programming is problem for designing...
On a general dynamic programming problem
A. Nowak (1977)
Colloquium Mathematicae
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Discounted dynamic programming on Euclidean spaces
A. Nowak (1979)
Applicationes Mathematicae
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Alphabetical list of contributors of volume 35 (2006)
(2006)
Control and Cybernetics
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Dynamic Programming: an overview
Moshe Sniedovich, Art Lew (2006)
Control and Cybernetics
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A generalization of Bellman's functional equation.
Peter Kardos (1980)
Aequationes mathematicae
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Uniform value in dynamic programming
Jérôme Renault (2011)
Journal of the European Mathematical Society
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We consider dynamic programming problems with a large time horizon, and give sufficient conditions for the existence of the uniform value. As a consequence, we obtain an existence result when the state space is precompact, payoffs are uniformly continuous and the transition correspondence is non expansive. In the same spirit, we give an existence result for the limit value. We also apply our results to Markov decision processes and obtain a few generalizations of existing results. ...