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InfsocSol3: An updated MATLAB® package for approximating the solution to a continuous-time infinite horizon stochastic optimal control problem

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  • Krawczyk, Jacek B
  • Pharo, Alastair S

Abstract

This paper describes a suite of MATLAB® routines devised to provide an approximately optimal solution to an infinite-horizon stochastic optimal control problem. The suite is an updated version of that described in [1] and [2]. Its routines implement a policy improvement algorithm to optimise a Markov decision chain approximating the original control problem, as described in [3].

Suggested Citation

  • Krawczyk, Jacek B & Pharo, Alastair S, 2014. "InfsocSol3: An updated MATLAB® package for approximating the solution to a continuous-time infinite horizon stochastic optimal control problem," Working Paper Series 18832, Victoria University of Wellington, School of Economics and Finance.
    • Handle: RePEc:vuw:vuwecf:18832
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    File URL: https://ir.wgtn.ac.nz/handle/123456789/18832
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    References listed on IDEAS

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    1. Azzato, Jeffrey & Krawczyk, Jacek, 2006. "SOCSol4L An improved MATLAB package for approximating the solution to a continuous-time stochastic optimal control problem," MPRA Paper 1179, University Library of Munich, Germany.
    2. Jacek Krawczyk & Alastair Pharo & Oana Serea & Stewart Sinclair, 2013. "Computation of viability kernels: a case study of by-catch fisheries," Computational Management Science, Springer, vol. 10(4), pages 365-396, December.
    3. Bene, C. & Doyen, L. & Gabay, D., 2001. "A viability analysis for a bio-economic model," Ecological Economics, Elsevier, vol. 36(3), pages 385-396, March.
    4. Azzato, Jeffrey D. & Krawczyk, Jacek B., 2009. "InfSOCSol2 An updated MATLAB Package for Approximating the Solution to a Continuous-Time Infinite Horizon Stochastic Optimal Control Problem with Control and State Constraints," MPRA Paper 17027, University Library of Munich, Germany.
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