saddle-point problem. Specifically, we introduce an auxiliary problem whose optimum value gives a'/> An Efficient Proximal Point Algorithm for Unweighted Max-Min Dispersion Problem*
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An Efficient Proximal Point Algorithm for Unweighted Max-Min Dispersion Problem*

机译:一种有效的不加权最大-最小色散问题的近点算法*

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In this paper, we first reformulate the max-min dispersion problem as a style="font-family:Verdana;"> saddle-point problem. Specifically, we introduce an auxiliary problem whose optimum value gives an upper bound on that of the original problem. Then we propose the saddle-point problem to be solved by an adaptive custom proximal point algorithm. Numerical results show that the proposed algorithm is efficient.
机译:在本文中,我们首先将最大-最小色散问题重新表述为一个鞍点问题。具体来说,我们引入一个辅助问题,其最佳值给出了原始问题的上限。然后,我们提出了通过自适应自定义近端点算法解决的鞍点问题。数值结果表明,该算法是有效的。

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