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Lipschitz continuity of the optimal value function in parametric optimization

机译:参数优化中最优值函数的Lipschitz连续性

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摘要

We study generalized parametric optimization problems in Banach spaces, given by continuously Frechet differentiable mappings and some abstract constraints, in terms of local Lipschitz continuity of the optimal value function. Therefore, we make use of the well-known regularity condition by Kurcyusz, Robinson and Zowe, an inner semicontinuity property of the solution set mapping and some earlier results by Mordukhovich, Nam and Yen. The main theorem presents a handy formula which can be used in order to approximate the Clarke subdifferential of the optimal value function, provided that the conditions mentioned above are satisfied and hence the optimal value function is locally Lipschitz continuous. Throughout the paper we avoid any compactness assumptions.
机译:我们根据最优值函数的局部Lipschitz连续性,研究了连续不断的Frechet可微映射和一些抽象约束给出的Banach空间中的广义参数优化问题。因此,我们利用了Kurcyusz,Robinson和Zowe的众所周知的正则条件,解集映射的内部半连续性以及Mordukhovich,Nam和Yen的一些早期结果。主定理提供了一个方便的公式,可以用来近似最优值函数的Clarke次微分,前提是满足上述条件,因此最优值函数是局部Lipschitz连续的。在整篇文章中,我们避免任何紧凑性假设。

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