论文标题
通过幽灵罚款减少了非convex复合问题的步骤尺寸方法：从一般到凸的常规案例
Diminishing Stepsize Methods for Nonconvex Composite Problems via Ghost Penalties: from the General to the Convex Regular Constrained Case
论文作者
论文摘要
在本文中，我们首先扩展了[4]中提出的非convex约束问题的减小步骤尺寸方法，以处理平等约束和复合类型的非平滑目标函数。然后，我们考虑约束是凸面并满足标准约束资格的特定情况，并表明在这种情况下，可以大大简化算法，从而减少每种迭代的计算负担。
In this paper we first extend the diminishing stepsize method for nonconvex constrained problems presented in [4] to deal with equality constraints and a nonsmooth objective function of composite type. We then consider the particular case in which the constraints are convex and satisfy a standard constraint qualification and show that in this setting the algorithm can be considerably simplified, reducing the computational burden of each iteration.
