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检索条件"主题词=Proximal gradient algorithm"
38 条 记 录,以下是11-20 订阅
排序:
Continuous-Time Distributed proximal gradient algorithms for Nonsmooth Resource Allocation Over General Digraphs
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IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING 2021年 第2期8卷 1733-1744页
作者: Zhu, Yanan Wen, Guanghui Yu, Wenwu Yu, Xinghuo Nanjing Univ Informat Sci & Technol Sch Automat Nanjing 210044 Peoples R China Southeast Univ Sch Math Jiangsu Prov Key Lab Networked Collect Intelligen Nanjing 210096 Peoples R China RMIT Univ Sch Engn Melbourne Vic 3001 Australia
This paper studies a nonsmooth resource allocation problem with network resource constraints and local set constraints, where the interaction graphs among agents are generally strongly connected digraphs. First, we de... 详细信息
来源: 评论
proximal gradient/Semismooth Newton Methods for Projection onto a Polyhedron via the Duality-Gap-Active-Set Strategy
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JOURNAL OF SCIENTIFIC COMPUTING 2023年 第1期97卷 1-34页
作者: Wang, Yunlong Shen, Chungen Zhang, Lei-Hong Yang, Wei Hong Shanghai Jiao Tong Univ Antai Coll Econ & Management Shanghai 200030 Peoples R China Univ Shanghai Sci & Technol Coll Sci Shanghai 200093 Peoples R China Soochow Univ Sch Math Sci Suzhou 215006 Peoples R China Fudan Univ Sch Math Sci Shanghai 200433 Peoples R China
The polyhedral projection problem arises in various applications. To efficiently solve the dual problem, one of the crucial issues is to safely identify zero-elements as well as the signs of nonzero elements at the op... 详细信息
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On convergence of iterative thresholding algorithms to approximate sparse solution for composite nonconvex optimization
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MATHEMATICAL PROGRAMMING 2025年 第1-2期211卷 181-206页
作者: Hu, Yaohua Hu, Xinlin Yang, Xiaoqi Shenzhen Univ Sch Math Sci Shenzhen 518060 Peoples R China Shenzhen Univ WeBank Inst Fintech Shenzhen Audencia Business Sch Shenzhen 518060 Peoples R China Hong Kong Polytech Univ Dept Appl Math Kowloon Hong Kong Peoples R China
This paper aims to find an approximate true sparse solution of an underdetermined linear system. For this purpose, we propose two types of iterative thresholding algorithms with the continuation technique and the trun... 详细信息
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Inertial self-adaptive algorithms for solving non-smooth convex optimization problems
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NUMERICAL algorithmS 2025年 第1期98卷 133-163页
作者: Chen, Xin Duan, Peichao Civil Aviat Univ China Coll Sci Tianjin 300300 Peoples R China
In this paper, for two different forms of non-smooth convex optimization problems, we investigate the self-adaptive algorithms with inertia acceleration. Firstly, we propose a self-adaptive proximal gradient algorithm... 详细信息
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Joint sparse optimization: lower-order regularization method and application in cell fate conversion
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INVERSE PROBLEMS 2024年 第9期40卷 095003-095003页
作者: Hu, Yaohua Hu, Xinlin Kwok Wai Yu, Carisa Qin, Jing Shenzhen Univ Sch Math Sci Shenzhen 518060 Peoples R China Guangdong Univ Technol Sch Math & Stat Guangzhou 510520 Peoples R China Hang Seng Univ Hong Kong Dept Math Stat & Insurance Shatin Hong Kong Peoples R China Sun Yat sen Univ Sch Pharmaceut Sci Shenzhen Shenzhen Campus Shenzhen 518107 Guangdong Peoples R China
Multiple measurement signals are commonly collected in practical applications, and joint sparse optimization adopts the synchronous effect within multiple measurement signals to improve model analysis and sparse recov... 详细信息
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A varying coefficient model with matrix valued covariates
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JOURNAL OF NONPARAMETRIC STATISTICS 2024年 第3期36卷 673-705页
作者: Zhang, Hong-Fan Southwest Jiaotong Univ Dept Stat Chengdu Peoples R China
Modern data are often collected in a matrix form. In this paper, we consider modelling the varying coefficient regression with matrix valued covariate X and scalar index variable U. The proposed model simultaneously m... 详细信息
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A two-phase rank-based algorithm for low-rank matrix completion
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OPTIMIZATION LETTERS 2023年 第7期17卷 1679-1695页
作者: Araujo, Tacildo de S. Goncalves, Douglas S. Torezzan, Cristiano Univ Estadual Campinas Dept Appl Math IMECC Campinas Brazil Univ Fed Santa Catarina Dept Math Florianopolis SC Brazil Univ Estadual Campinas Sch Appl Sci Limeira Brazil
Matrix completion aims to recover an unknown low-rank matrix from a small subset of its entries. In many applications, the rank of the unknown target matrix is known in advance and this information can be useful in th... 详细信息
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Incremental proximal gradient scheme with penalization for constrained composite convex optimization problems
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OPTIMIZATION 2021年 第5-6期70卷 1307-1336页
作者: Petrot, Narin Nimana, Nimit Naresuan Univ Fac Sci Dept Math Phitsanulok Thailand Naresuan Univ Fac Sci Ctr Excellence Nonlinear Anal & Optimizat Phitsanulok Thailand Khon Kaen Univ Fac Sci Dept Math Khon Kaen Thailand
We consider the problem of minimizing a finite sum of convex functions subject to the set of minimizers of a convex differentiable function. In order to solve the problem, an algorithm combining the incremental proxim... 详细信息
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Convergence rates of accelerated proximal gradient algorithms under independent noise
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NUMERICAL algorithmS 2019年 第2期81卷 631-654页
作者: Sun, Tao Barrio, Roberto Jiang, Hao Cheng, Lizhi Natl Univ Def Technol Dept Math Changsha 410073 Hunan Peoples R China Univ Zaragoza Dept Matemat Aplicada IUMA Grp Pedro Cerbuna 12 E-50009 Zaragoza Spain Univ Zaragoza Dept Matemat Aplicada CoDy Grp Pedro Cerbuna 12 E-50009 Zaragoza Spain Natl Univ Def Technol Coll Comp Changsha 410073 Hunan Peoples R China Natl Univ Def Technol Coll Sci Changsha 410073 Hunan Peoples R China Natl Univ Def Technol State Key Lab High Performance Computat Changsha 410073 Hunan Peoples R China
We consider an accelerated proximal gradient algorithm for the composite optimization with independent errors (errors little related with historical information) for solving linear inverse problems. We present a new i... 详细信息
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Robust Multivariate Lasso Regression with Covariance Estimation
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JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS 2023年 第3期32卷 961-973页
作者: Chang, Le Welsh, A. H. Australian Natl Univ Res Sch Finance Actuarial Studies & Stat Canberra ACT Australia
Multivariate regression with covariance estimation (MRCE) is a method that performs sparse estimation of multivariate regression coefficients, while taking account the covariance structure of the response variables. M... 详细信息
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