In view of convex minimization problem with separable structure, this paper presents a separable method of partially parallel, and this method is evolved by the predictorcorrector proximal multiplier method. A different format is used in the process of minimization, the quadratic adjacent items are replaced but the augmented items are directly used in the method. Numerical example results show that this method is feasible.
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李小容.求解凸极小化问题的一种部分并行的可分方法[J].智能科学与工程学报,2017,34(2):16-21 LI Xiaorong. Partially Parallel of Separable Method to Solve Convex Minimization Problem[J]. Journal of Chongqing Technology and Business University(Natural Science Edition),2017,34(2):16-21