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Stochastic control theory and operational research

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  • Neck, Reinhard

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  • Neck, Reinhard, 1984. "Stochastic control theory and operational research," European Journal of Operational Research, Elsevier, vol. 17(3), pages 283-301, September.
    • Handle: RePEc:eee:ejores:v:17:y:1984:i:3:p:283-301
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    Cited by:

    1. Blueschke-Nikolaeva, V. & Blueschke, D. & Neck, R., 2012. "Optimal control of nonlinear dynamic econometric models: An algorithm and an application," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3230-3240.
    2. Blueschke, D. & Blueschke-Nikolaeva, V. & Savin, I., 2013. "New insights into optimal control of nonlinear dynamic econometric models: Application of a heuristic approach," Journal of Economic Dynamics and Control, Elsevier, vol. 37(4), pages 821-837.
    3. Fruchter, Gila E., 2001. "A dual control problem and application to marketing," European Journal of Operational Research, Elsevier, vol. 130(1), pages 99-110, April.
    4. Ivan Savin & Dmitri Blueschke, 2013. "Solving nonlinear stochastic optimal control problems using evolutionary heuristic optimization," Jena Economics Research Papers 2013-051, Friedrich-Schiller-University Jena.
    5. Ivan Savin & Dmitri Blueschke, 2016. "Lost in Translation: Explicitly Solving Nonlinear Stochastic Optimal Control Problems Using the Median Objective Value," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 317-338, August.
    6. A. Herbon & E. Khmelnitsky & F. Blanchini, 2003. "Effective Information for Offline Stochastic Feedback and Optimal Control of Dynamic Systems," Journal of Optimization Theory and Applications, Springer, vol. 116(2), pages 283-310, February.

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