Gnecco, Giorgio and Sanguineti, Marcello Value and Policy Function Approximations in InfiniteHorizon Optimization Problems. Journal of Dynamical Systems and Geometric Theories, 6 (2). pp. 123147. ISSN 1726037X (2008)
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Abstract
Abstract Suboptimal solutions to infinitehorizon dynamic optimization problems with continuous state are considered. An underlying dynamical system determining the state transition between each stage and the next one is modelled via the constraints (xt, xt +1) ∈ D, t = 0, 1, …, where X is the set to which the state vector belongs and D ⊆ X × X is a correspondence. An error analysis is performed for two cases: approximation of the value function and approximation of the optimal policy function. Structural properties of the dynamic optimization problems are derived, allowing to restrict a priori the approximation to families of functions characterized by certain smoothness properties. The two approximation approaches are compared and the respective pros and cons are highlighted.
Item Type:  Article 

Identification Number:  10.1080/1726037X.2008.10698552 
Uncontrolled Keywords:  Dynamic optimization, Dynamic programming, Infinite horizon, Approximation schemes, Suboptimal solutions 
Subjects:  Q Science > QA Mathematics > QA75 Electronic computers. Computer science 
Research Area:  Computer Science and Applications 
Depositing User:  Giorgio Gnecco 
Date Deposited:  17 Sep 2013 13:12 
Last Modified:  17 Sep 2013 13:12 
URI:  http://eprints.imtlucca.it/id/eprint/1792 
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Value and Policy Function Approximations in InfiniteHorizon Optimization Problems. (deposited 12 Sep 2013 13:19)
 Value and Policy Function Approximations in InfiniteHorizon Optimization Problems. (deposited 17 Sep 2013 13:12) [Currently Displayed]
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