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A smoothing Newton method for mathematical programs governed by second-order cone constrained generalized equations

机译:二阶锥约束广义方程控制的数学程序的光滑牛顿法

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In this paper, we consider a class of mathematical programs governed by second-order cone constrained parameterized generalized equations. We reformulate the necessary optimality conditions as a system of nonsmooth equations under linear independence constraint qualification and the strict complementarity condition. A set of second order sufficient conditions is proposed, which is proved to be sufficient for the second order growth of the stationary point. The smoothing Newton method in [40] is employed to solve the system of nonsmooth equations whose strongly BD-regularity at a solution point is demonstrated under the second order sufficient conditions. Several illustrative examples are provided and discussed.
机译:在本文中,我们考虑了一类由二阶锥约束参数化广义方程控制的数学程序。在线性独立约束条件和严格互补条件下,我们将必要的最优条件重新构造为非光滑方程组。提出了一组二阶充分条件,证明了该条件对于固定点的二阶增长是足够的。文献[40]中的平滑牛顿法被用于求解非光滑方程组,该方程组在二阶充分条件下在解点处具有很强的BD正则性。提供并讨论了几个说明性示例。

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