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Differentiable exact penalty functions for nonlinear second-order cone programs

机译:非线性二阶锥规划的可微分精确罚函数

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摘要

We propose a method for solving nonlinear second-order cone programs (SOCPs), based on a continuously differentiable exact penalty function. The construction of the penalty function is given by incorporating a multipliers estimate in the augmented Lagrangian for SOCPs. Under the nondegeneracy assumption and the strong second-order sufficient condition, we show that a generalized Newton method has global and superlinear convergence. We also present some preliminary numerical experiments.
机译:我们提出了一种基于连续可微精确罚函数的求解非线性二阶锥规划(SOCP)的方法。惩罚函数的构建是通过在SOCP的增强Lagrangian中合并乘数估计来给出的。在非退化假设和强二阶充分条件下,我们证明了广义牛顿法具有全局和超线性收敛性。我们还提出了一些初步的数值实验。

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