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Error Bounds of Two Smoothing Approximations for Semi-infinite Minimax Problems

Error Bounds of Two Smoothing Approximations for Semi-infinite Minimax Problems
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摘要 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 multi- dimensional 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. 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 multi- dimensional 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.
作者 Hong-xia Yin
出处 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2009年第4期685-696,共12页 应用数学学报(英文版)
基金 Supported by the National Natural Science Foundation of China(No.10671203,No.70621001) and the faculty research grant at MSU
关键词 Semi-infinite minimax problem smoothing method aggregate function error bound polynomial interpolation Semi-infinite minimax problem smoothing method aggregate function error bound polynomial interpolation
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