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Kullback-Leibler Simplex


  • Kangpenkae, Popon


This technical reference presents the functional structure and the algorithmic implementation of KL (Kullback-Leibler) simplex. It details the simplex approximation and fusion. The KL simplex is fundamental, robust, adaptive an informatics agent for computational research in economics, finance, game and mechanism. From this perspective the study provides comprehensive results to facilitate future work in such areas.

Suggested Citation

  • Kangpenkae, Popon, 2012. "Kullback-Leibler Simplex," MPRA Paper 39494, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:39494

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    References listed on IDEAS

    1. repec:hrv:faseco:33077889 is not listed on IDEAS
    2. Andrei Shleifer, 1998. "State versus Private Ownership," Journal of Economic Perspectives, American Economic Association, vol. 12(4), pages 133-150, Fall.
    3. von Hagen, Jurgen & Eichengreen, Barry, 1996. "Federalism, Fiscal Restraints, and European Monetary Union," American Economic Review, American Economic Association, vol. 86(2), pages 134-138, May.
    4. Schilirò, Daniele, 2002. "I criteri del Trattato di Maastricht, l’Europa e l’euro: debito pubblico in Italia e crescita
      [The criteria of the Maastricht Treaty, Europe and the euro: public debt in Italy and growth]
      ," MPRA Paper 36333, University Library of Munich, Germany.
    5. Schilirò, Daniele, 2006. "L’euro, il patto di stabilità e di crescita e la sua riforma
      [The euro, the stability and growth pact and its reform]
      ," MPRA Paper 37333, University Library of Munich, Germany.
    6. Schilirò, Daniele, 2001. "Occupazione e disoccupazione in Italia e in Europa negli anni novanta
      [Employment and unemployment in Italy and Europe in the nineties]
      ," MPRA Paper 36527, University Library of Munich, Germany.
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    More about this item


    KL divergence; second-order perceptron; informatics agent; simplex projection and fusion; computational economics-game-finance-mechanism;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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