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Error bounds of two smoothing approximations for semi-infinite minimax problems
Authors:Hong-xia Yin
Affiliation:Department of Mathematics and Statistics, Minnesota State University Mankato, 273 Wissink Hall, Mankato, MN 56001, USA
Abstract:In the paper we investigate smoothing method for solving semi-infinite minimax problems. Not like most of the literature in semi-infinite minimax problems which are concerned with the continuous time version(i.e., the one dimensional semi-infinite minimax problems), the primary focus of this paper is on multidimensional semi-infinite minimax problems. The global error bounds of two smoothing approximations for the objective function are given and compared. It is proved that the smoothing approximation given in this paper can provide a better error bound than the existing one in literature.
Keywords:Semi-infinite minimax problem  smoothing method  aggregate function  error bound  polynomial interpolation
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