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检索条件"主题词=separable convex programming"
16 条 记 录,以下是11-20 订阅
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Generalized symmetric ADMM for separable convex optimization
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COMPUTATIONAL OPTIMIZATION AND APPLICATIONS 2018年 第1期70卷 129-170页
作者: Bai, Jianchao Li, Jicheng Xu, Fengmin Zhang, Hongchao Xi An Jiao Tong Univ Sch Math & Stat Xian 710049 Shaanxi Peoples R China Xi An Jiao Tong Univ Sch Econ & Finance Xian 710049 Shaanxi Peoples R China Louisiana State Univ Dept Math Baton Rouge LA 70803 USA
The alternating direction method of multipliers (ADMM) has been proved to be effective for solving separable convex optimization subject to linear constraints. In this paper, we propose a generalized symmetric ADMM (G... 详细信息
来源: 评论
On the convergence rate of the augmented Lagrangian-based parallel splitting method
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OPTIMIZATION METHODS & SOFTWARE 2019年 第2期34卷 278-304页
作者: Wang, Kai Desai, Jitamitra Nanyang Technol Univ Sch Mech & Aerosp Engn Singapore Singapore
The augmented Lagrangian method (ALM) is a well-regarded algorithm for solving convex optimization problems with linear constraints. Recently, in He et al. [On full Jacobian decomposition of the augmented Lagrangian m... 详细信息
来源: 评论
Approximate Customized Proximal Point Algorithms for separable convex Optimization
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Journal of the Operations Research Society of China 2023年 第2期11卷 383-408页
作者: Hong-Mei Chen Xing-Ju Cai Ling-Ling Xu School of Mathematical Sciences Nanjing Normal UniversityNanjing 210023JiangsuChina Jiangsu Key Laboratory for NSLSCS Nanjing Normal UniversityNanjing 210023JiangsuChina
Proximal point algorithm(PPA)is a useful algorithm framework and has good convergence *** difficulty is that the subproblems usually only have iterative *** this paper,we propose an inexact customized PPA framework fo... 详细信息
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Minimum variance allocation among constrained intervals
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JOURNAL OF GLOBAL OPTIMIZATION 2019年 第1期74卷 21-44页
作者: Sun, Hsin-Min Sheu, Ruey-Lin Natl Univ Tainan Dept Appl Math Tainan 70005 Taiwan Natl Cheng Kung Univ Dept Math Tainan 70101 Taiwan
We propose a weighted minimum variance allocation model, denoted by WMVA, which distributes an amount of a divisible resource as fairly as possible while satisfying all demand intervals. We show that the problem WMVA ... 详细信息
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Convergence analysis of positive-indefinite proximal ADMM with a Glowinski's relaxation factor
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NUMERICAL ALGORITHMS 2020年 第4期83卷 1415-1440页
作者: Chen, Jiawei Wang, Yiyun He, Hongjin Lv, Yibing Southwest Univ Sch Math & Stat Chongqing 400715 Peoples R China Hangzhou Dianzi Univ Sch Sci Dept Math Hangzhou 310018 Zhejiang Peoples R China Yangtze Univ Sch Informat & Math Jingzhou 434023 Peoples R China
In this paper, we propose a modified positive-indefinite proximal linearized ADMM (PIPL-ADMM) with a larger Glowinski's relaxation factor for solving two-block linearly constrained separable convex programming by ... 详细信息
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DUAL COORDINATE ASCENT METHODS FOR NONSTRICTLY convex MINIMIZATION
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MATHEMATICAL programming 1993年 第2期59卷 231-247页
作者: TSENG, P 1. Department of Mathematics GN-50 University of Washington 98195 Seattle WA USA
We consider a dual method for solving non-strictly convex programs possessing a certain separable structure. This method may be viewed as a dual version of a block coordinate ascent method studied by Auslender [1, Sec... 详细信息
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