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逼近优化问题中η-的鞍点最优性条件

Saddle-Point Criteria in η-approximagration Method for Nonlinear Mathematical Programming Problems Involving Invex Functions
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摘要 本文进一步讨论了由Antczak提出的η-逼近方法[1],它是为了解决包含有关于同一个函数η的不变凸函数的非线性约束数学规划问题.在这种方法中,我们定义了与最初数学规划相关的η-逼近优化问题和η-鞍点、η-拉格朗日函数,最后,我们证明了η-逼近优化问题中的η-鞍点最优性条件. In this paper, the η- approximation method introduced by Antczak[1] for solving a nonlinear constrained mathematical programming problem involving invex functions with respect to the same function η-is extended. In this method, a so-called η- approxi mation optimization problem associated with the original mathematical programming problems is constructed; moreover, an-saddle point an η- agrange function are defined. By the help of the eonstrccted η- approximation optimization problem, saddle-point criteria are obtained for the original mathematical programming problem.
作者 叶提芳
出处 《山西师范大学学报(自然科学版)》 2011年第3期30-34,共5页 Journal of Shanxi Normal University(Natural Science Edition)
关键词 η-逼近优化问题 η-鞍点 η-拉格朗日函数 η-不变凸函数 最优性 η- approximation optimization problem η- saddle point η- Lagrange function invex function with respect to r/ op-timality
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参考文献8

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