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Numerical Solutions to Some Optimal Control Problems Arising from Innovation Diffusion

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Author Info
Luigi De Cesare ()
Andrea Di Liddo
Stefania Ragni

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Abstract

In this paper we propose a numerical approach for the solution of some optimalcontrol problems arising in the field of marketing decision models. Inparticular, we account for a specific innovation diffusion model. A numericalapproach may be useful to investigate some features of state variables andparameters of interest. The discrete problem is solved by the SimulatedAnnealing method and the resulting numerical scheme is applied to some testcases. Copyright Kluwer Academic Publishers 2003

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File URL: http://hdl.handle.net/10.1023/A:1026185814203
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Publisher Info
Article provided by Springer in its journal Computational Economics.

Volume (Year): 22 (2003)
Issue (Month): 2 (October)
Pages: 173-186
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Handle: RePEc:kap:compec:v:22:y:2003:i:2:p:173-186

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Web page: http://www.springerlink.com/link.asp?id=100248

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Related research
Keywords: innovation diffusion; marketing models; optimal control problem; numerical approximation; Simulated Annealing;

References listed on IDEAS
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  1. Goffe, William L. & Ferrier, Gary D. & Rogers, John, 1994. "Global optimization of statistical functions with simulated annealing," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 65-99. [Downloadable!] (restricted)
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This page was last updated on 2009-12-10.

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