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	A Three-Operator Splitting Perspective of a Three-Block ADMM for Convex Quadratic Semidefinite Programming and beyond 期刊论文 Asia-Pacific Journal of Operational Research, 2020, 卷号: 37, 期号: 4 作者: Chen, Liang; Chang, Xiaokai; Liu, Sanyang 收藏 \| 浏览/下载：9/0 \| 提交时间：2020/11/14 Constrained optimization Convex optimization Alternating direction method of multipliers Augmented Lagrangian functions Convex optimization problems Douglas-rachford splitting Maximal monotone operators Proximal point algorithm Quadratic programming problems Quadratic semidefinite programming
	Primal Averaging: A New Gradient Evaluation Step to Attain the Optimal Individual Convergence 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 2, 页码: 835-845 作者: Tao, Wei; Pan, Zhisong; Wu, Gaowei; Tao, Qing 收藏 \| 浏览/下载：14/0 \| 提交时间：2020/03/30 Convergence Convex functions Machine learning Optimization methods Linear programming Cybernetics Individual convergence machine learning mirror descent (MD) methods regularized learning problems stochastic gradient descent (SGD) stochastic optimization
	Stochastic proximal quasi-Newton methods for non-convex composite optimization 期刊论文 OPTIMIZATION METHODS & SOFTWARE, 2019, 卷号: 34, 期号: 5, 页码: 922-948 作者: Wang, Xiaoyu; Wang, Xiao; Yuan, Ya-xiang 收藏 \| 浏览/下载：55/0 \| 提交时间：2020/01/10 Non-convex composite optimization Polyak-Lojasiewicz (PL) inequality stochastic gradient stochastic variance reduction gradient symmetric rank one method rank one proximity operator complexity bound
	On the Nonergodic Convergence Rate of an Inexact Augmented Lagrangian Framework for Composite Convex Programming 期刊论文 MATHEMATICS OF OPERATIONS RESEARCH, 2019, 卷号: 44, 期号: 2, 页码: 632-650 作者: Liu, Ya-Feng; Liu, Xin; Ma, Shiqian 收藏 \| 浏览/下载：48/0 \| 提交时间：2020/01/10 inexact augmented Lagrangian framework nonergodic convergence rate composite convex programming
	Strong convergence and bounded perturbation resilience of a modified proximal gradient algorithm 期刊论文 Journal of Inequalities and Applications, 2018, 卷号: 2018, 期号: 1 作者: Guo,Yanni; Cui,Wei 收藏 \| 浏览/下载：18/0 \| 提交时间：2018/07/30 Strong convergence Bounded perturbation resilience Modified proximal gradient algorithm Viscosity approximation Convex minimization problem
	Efficient primal–dual fixed point algorithms with dynamic stepsize for composite convex optimization problems 期刊论文 Multidimensional Systems and Signal Processing, 2018 作者: Wen, Meng; Tang, Yuchao; Cui, Angang; Peng, Jigen 收藏 \| 浏览/下载：14/0 \| 提交时间：2019/11/19 Convex optimization problems Ct image reconstruction Firmly nonexpansive Fixed-point algorithms Iterative algorithm Modified Mann iteration Proximity operator Step size
	Multi-objective optimum of composite bolted joints by using the multi-layer convex hull method 期刊论文 STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2018, 卷号: 58, 页码: 1233-1242 作者: Zhao, Shiwei; Li, Daochun; Xiang, Jinwu 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/30 Composite Bolted joint Spring method Optimum Convex hull
	Inexact proximal stochastic gradient method for convex composite optimization 期刊论文 COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2017, 卷号: 68, 期号: 3, 页码: 579-618 作者: Wang, Xiao; Wang, Shuxiong; Zhang, Hongchao 收藏 \| 浏览/下载：30/0 \| 提交时间：2018/07/30 Convex composite optimization Empirical risk minimization Stochastic gradient Inexact methods Global convergence Complexity bound
	Sparse Learning with Stochastic Composite Optimization 期刊论文 ieee transactions on pattern analysis and machine intelligence, 2017, 卷号: 39, 期号: 6, 页码: 1223-1236 作者: Zhang, Weizhong; Zhang, Lijun; Jin, Zhongming; Jin, Rong; Cai, Deng 收藏 \| 浏览/下载：42/0 \| 提交时间：2017/05/31 Sparse learning stochastic optimization stochastic composite optimization
	Electro-Fenton oxidation of coking wastewater: optimization using the combination of central composite design and convex optimization method 期刊论文 ENVIRONMENTAL TECHNOLOGY, 2017, 卷号: 38, 期号: 19, 页码: 2456-2464 作者: Xu, Changyou; Li, Yu-You; Gao, Yingxin; Li, Weicheng; Ni, Jialing 收藏 \| 浏览/下载：15/0 \| 提交时间：2018/07/27 Electro-fenton Coking Wastewater Optimization Central Composite Design Convex Optimization Method

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