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Recursive Approximation of the High Dimensional max Function

Author

Listed:
  • Birbil, S.I.
  • Fang, S-C.
  • Frenk, J.B.G.
  • Zhang, S.

Abstract

An alternative smoothing method for the high dimensional max function has been studied. The proposed method is a recursive extension of the two dimensional smoothing functions. In order to analyze the proposed method, a theoretical framework related to smoothing methods has been discussed. Moreover, we support our discussion by considering some application areas. This is followed by a comparison with an alternative well-known smoothing method.

Suggested Citation

  • Birbil, S.I. & Fang, S-C. & Frenk, J.B.G. & Zhang, S., 2003. "Recursive Approximation of the High Dimensional max Function," Econometric Institute Research Papers ERS-2003-003-LIS, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    • Handle: RePEc:ems:eureir:267
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    More about this item

    Keywords

    n dimensional max function; recursive approximation; smoothing methods; vertical linear complementarity (VLCP);
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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