Invex programming problems with equality and inequality constraints

A.K. Das , R. Jana , Deepmala
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引用次数: 6

Abstract

The class of functions is known as invex function (invariant convex) in the literature and the name derives from the fact that the convex like property of such functions remains invariant under all diffeomorphisms of Rn into Rn. A noteworthy result here is that the class of invex functions is precisely the class of differentiable functions whose stationary points are global minimizers. We revisit some of the important results obtained by Hanson and Martin and extend them to constrained minimization problems with equality constraints in addition to inequality constraints. We address some conditions by which a function is invex. We propose a result to solve pseudo-invex programming problem with the help of an equivalent programming problem.

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具有等式和不等式约束的逆规划问题
这类函数在文献中被称为逆函数(不变凸),其名称来源于这类函数的类凸性质在Rn到Rn的所有微分同态下保持不变。这里有一个值得注意的结论,即逆函数类正是稳定点为全局极小值的可微函数类。我们重新审视了Hanson和Martin得到的一些重要结果,并将它们扩展到除了不等式约束之外还有等式约束的约束最小化问题。我们讨论了函数为倒幂的一些条件。利用一个等价规划问题,给出了求解伪逆规划问题的一个结果。
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来源期刊
CiteScore
0.50
自引率
50.00%
发文量
0
审稿时长
22 weeks
期刊最新文献
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