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A filter trust region method for solving semi-infinite programming problems

机译:一种解决半无限规划问题的滤波器信赖域方法

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This paper is concerned with numerical methods for solving a semi-infinite programming problem. We first reformulate the KKT system derived from the problem into a system of semismooth equations by using the F-B NCP function. Under some conditions, a solution of the system of semismooth equations is a solution of the problem. Then we develop a filter-trust-region method for solving this system of semismooth equations. An advantage of the proposed method is that at each iteration, only a system of linear equations is solved. We prove that under standard assumptions, the iterate sequence generated by this proposed method converges globally and superlinearly. Numerical tests are also reported.
机译:本文涉及解决半无限规划问题的数值方法。我们首先使用F-B NCP函数将从问题中得出的KKT系统重构为半光滑方程组。在某些情况下,半光滑方程组的解决方案就是该问题的解决方案。然后,我们开发了一种用于解决该半光滑方程组的过滤器信任区域方法。所提出的方法的优点在于,在每次迭代中,仅求解线性方程组。我们证明,在标准假设下,该方法生成的迭代序列在全局和超线性上收敛。还报告了数值测试。

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