Recursive Approximation of the High Dimensional max Function
AbstractAn alternative smoothing method for the high dimensional max functionhas been studied. The proposed method is a recursive extension of thetwo dimensional smoothing functions. In order to analyze the proposedmethod, a theoretical framework related to smoothing methods has beendiscussed. Moreover, we support our discussion by considering someapplication areas. This is followed by a comparison with analternative well-known smoothing method.
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Bibliographic InfoPaper provided by Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. in its series Research Paper with number ERS-2003-003-LIS.
Date of creation: 21 Jan 2003
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n dimensional max function; recursive approximation; smoothing methods; vertical linear complementarity (VLCP);
This paper has been announced in the following NEP Reports:
- NEP-ALL-2003-01-27 (All new papers)
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