所有作者：顾国勇 何炳生 杨俊锋
作者单位：南京大学数学系
论文摘要：Alternating direction method (ADM) has been well studied in the context of linearly constrained convex programming problems。 In the last few years， we have witnessed a number of novel applications arising from image processing， compressive sensing and statistics， etc。， where the ADM approach is surprisingly efficient。 In common applications of the ADM， both the objective function and the constraints are separable into two parts。 Recently， the ADM has been extended to the case where the number of separable parts is a finite number。 However， in each iteration， the subproblems are required to be solved exactly。 In this paper， by using some reasonable inexactness criteria， we propose two inexact alternating direction based contraction methods， which substantially broaden the applicable scope of the ADM。
关键词： alternating direction method linearly constrained convex programming separable structure contraction
免费下载《求解线性可分离变量凸优化的非精确交替方向法》PDF全文（已停止下载）
本站“论文下载”文章收集整理于“中国科技论文在线”，由于各种原因，本站已暂停论文下载！请前往“中国科技论文在线http://www.paper.edu.cn/”免费下载！
下一篇：Backward Doubly Stochastic Differential Equations with Jumps and Stochastic Partial Differential-Int
指出，范文大全立刻进行改正或删除有关内容! 
当前位置：