不精确拉格朗日法，求解矩阵补全的凸优化问题，可以用该方法实现背景建模-Imprecise Lagrangian method for solving matrix completion convex optimization problem, you can use this method, background modeling

基于不精确拉格郞日算子法的低秩矩阵重构程序，可以用于图像分割，将目标图像分割为背景和前景，从而将前景分离出来。-Lagrangian method based on imprecise low rank matrix reconstruction procedures can be used for image segmentation, the target image into background and foreground,

Fast GVF/GGVF computation via augmented Lagrangian methods

不精确拉格朗日乘子法，也就是交替方向方法，可用于求解低秩矩阵恢复等问题。(Alternating direction methods, ADM;Inexact ALM, IALM)