A proximal augmented method for solving semidefinite programs is introduced. This method is based on the Augmented Lagrangian method. We study the theoretical properties and show the convergence of the new approach under weaker conditions. Numerical results on some semidefinite programming problems are reported and show that the new method is potentially efficient.

中文翻译：

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半定规划问题的近端增广方法

介绍了一种求解半定规划的近端增广方法。该方法基于增广拉格朗日方法。我们研究了理论特性并展示了新方法在较弱条件下的收敛性。报告了一些半定规划问题的数值结果，表明新方法具有潜在的效率。