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首页> 外文期刊>Applied Mathematics. series B >GENERALIZED K-T CONDITIONS AND PENALTY FUNCTIONS FOR QUASIDIFFERENTIABLE PROGRAMMING
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GENERALIZED K-T CONDITIONS AND PENALTY FUNCTIONS FOR QUASIDIFFERENTIABLE PROGRAMMING

机译:拟可微规划的广义K-T条件和罚金函数。

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摘要

In this paper, a quasidifferentiable programming problem with inequality constraints is considered. Firs, a general form of optimality conditions for this problem is given, which contains the results of luderer, Kuntz and Scholtes. Next, a new genralized K-T condition is derived. The new optimality condition doesn't use luderer's regularity assumption and its Lagrangian multipliers don't depend on he particualr elements in the superdifferentials of the object function and constrain functions. Finally, a penalty function for the problem is studied. Sufficient conditions of the object function and constraint functions. Finally, a penalty function for the problem is studied. Sufficient conditions of he penalty function attaining a global minimum are obtained.
机译:本文考虑具有不等式约束的拟可分编程问题。首先,给出了该问题最优性条件的一般形式,其中包含luderer,Kuntz和Scholtes的结果。接下来,导出新的归一化的K-T条件。新的最优性条件不使用luderer的正则性假设,其拉格朗日乘数不依赖于对象函数和约束函数超微分中的特殊元素。最后,研究了该问题的罚函数。对象函数和约束函数的充分条件。最后,研究了该问题的罚函数。获得了罚函数达到全局最小值的充分条件。

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