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Proximal Alternating-Direction-Method-of- Multipliers-Incorporated Nonnegative Latent Factor Analysis
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1388-1406
作者:
Fanghui Bi
;
Xin Luo
;
Bo Shen
;
Hongli Dong
;
Zidong Wang
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/05/29
Data science
high-dimensional and incomplete data
knowledge acquisition
industrial application
nonnegative latent factor analysis (NLFA)
proximal alternating direction method of multipliers
representation learning
A NOVEL AUGMENTED LAGRANGIAN METHOD OF MULTIPLIERS FOR OPTIMIZATION WITH GENERAL INEQUALITY CONSTRAINTS
期刊论文
MATHEMATICS OF COMPUTATION, 2022, 页码: 30
作者:
Liu, Xin-Wei
;
Dai, Yu-Hong
;
Huang, Ya-Kui
;
Sun, Jie
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  |  
浏览/下载:26/0
  |  
提交时间:2023/02/07
Nonlinear programming
inequality-constrained optimization
augmented Lagrangian method of multipliers
strong global convergence
local convergence
Graph matching based point correspondence with alternating direction method of multipliers
期刊论文
NEUROCOMPUTING, 2021, 卷号: 462, 页码: 344-352
作者:
Yang, Jing
;
Yang, Xu
;
Zhou, Zhang-Bing
;
Liu, Zhi-Yong
;
Fan, Ming-Yu
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  |  
浏览/下载:41/0
  |  
提交时间:2021/11/03
Point correspondence
Graph matching
ADMM
Subproblems
Distributed Resource Allocation via Accelerated Saddle Point Dynamics
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1588-1599
作者:
Wen-Ting Lin
;
Yan-Wu Wang
;
Chaojie Li
;
Xinghuo Yu
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/09/03
Accelerated saddle point dynamic
distributed resource allocation
hyper-exponential stability
power dispatch
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
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  |  
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
Fast algorithms for sparse portfolio selection considering industries and investment styles
期刊论文
JOURNAL OF GLOBAL OPTIMIZATION, 2020, 页码: 27
作者:
Dong, Zhi-Long
;
Xu, Fengmin
;
Dai, Yu-Hong
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  |  
浏览/下载:20/0
  |  
提交时间:2020/06/30
Portfolio selection
Industry classification
Style investment
ADMM
Sparse optimization
LOW-RANK MATRIX ITERATION USING POLYNOMIAL-FILTERED SUBSPACE EXTRACTION
期刊论文
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2020, 卷号: 42, 期号: 3, 页码: A1686-A1713
作者:
Li, Yongfeng
;
Liu, Haoyang
;
Wen, Zaiwen
;
Yuan, Ya-Xiang
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  |  
浏览/下载:12/0
  |  
提交时间:2020/09/23
low-rank matrix iteration
eigenvalue decomposition
inexact optimization method
polynomial filter
subspace extraction
A generalization of linearized alternating direction method of multipliers for solving two-block separable convex programming
期刊论文
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2019, 卷号: 357, 页码: 251-272
作者:
Chang, Xiaokai
;
Liu, Sanyang
;
Zhao, Pengjun
;
Song, Dunjiang
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  |  
浏览/下载:9/0
  |  
提交时间:2019/11/15
Alternating direction method of multipliers
Proximal point algorithm
Separable convex programming
Linearization
Indefinite proximal regularization
LASSO
Extended ADMM and BCD for nonseparable convex minimization models with quadratic coupling terms: convergence analysis and insights
期刊论文
MATHEMATICAL PROGRAMMING, 2019, 卷号: 173, 期号: 1-2, 页码: 37-77
作者:
Chen, Caihua
;
Li, Min
;
Liu, Xin
;
Ye, Yinyu
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  |  
浏览/下载:58/0
  |  
提交时间:2019/03/11
Nonseparable convex minimization
Alternating direction method of multipliers
Block coordinate descent method
Iterate convergence
Random permutation
A SEMISMOOTH NEWTON METHOD FOR SEMIDEFINITE PROGRAMS AND ITS APPLICATIONS IN ELECTRONIC STRUCTURE CALCULATIONS
期刊论文
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2018, 卷号: 40, 期号: 6, 页码: A4131-A4157
作者:
Li, Yongfeng
;
Wen, Zaiwen
;
Yang, Chao
;
Yuan, Ya-Xiang
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2019/03/05
semidefinite programming
ADMM
semismooth Newton method
electronic structure calculation
two-body reduced density matrix
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