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检索条件"主题词=proximal point algorithm"
340 条 记 录,以下是251-260 订阅
排序:
proximal algorithm with quasidistances for multiobjective quasiconvex minimization in Riemannian manifolds
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RAIRO-OPERATIONS RESEARCH 2023年 第4期57卷 2301-2314页
作者: Quiroz, Erik Alex Papa Rocha, Rogerio Azevedo Oliveira, Paulo Gregorio, Ronaldo Univ Privada Norte Univ Nacl Mayor San Marcos Lima Peru Univ Fed Goias Goiania Brazil Univ Fed Tocantins Palmas Brazil Univ Fed Rio de Janeiro Rio de Janeiro Brazil Univ Fed Rural Rio de Janeiro Rio De Janeiro Brazil
We introduce a proximal algorithm using quasidistances for multiobjective minimization problems with quasiconvex functions defined in arbitrary Riemannian manifolds. The reason of using quasidistances instead of the c... 详细信息
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A dual-primal balanced augmented Lagrangian method for linearly constrained convex programming
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JOURNAL OF APPLIED MATHEMATICS AND COMPUTING 2023年 第1期69卷 1015-1035页
作者: Xu, Shengjie Harbin Inst Technol Dept Math Harbin 150001 Peoples R China Southern Univ Sci & Technol Dept Math Shenzhen 518055 Peoples R China
Most recently, a balanced augmented Lagrangian method (ALM) has been proposed by He and Yuan for the canonical convex minimization problem with linear constraints, which advances the original ALM by balancing its subp... 详细信息
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On Regularized Square-root Regression Problems: Distributionally Robust Interpretation and Fast Computations
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JOURNAL OF MACHINE LEARNING RESEARCH 2022年 第1期23卷 1-39页
作者: Chu, Hong T. M. Toh, Kim-Chuan Zhang, Yangjing Natl Univ Singapore Dept Math Singapore 119076 Singapore Natl Univ Singapore Inst Operat Res & Analyt Singapore 119076 Singapore Chinese Acad Sci Acad Math & Syst Sci Inst Appl Math Beijing 100190 Peoples R China
Square-root (loss) regularized models have recently become popular in linear regression due to their nice statistical properties. Moreover, some of these models can be interpreted as the distributionally robust optimi... 详细信息
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Resolvent and proximal Compositions
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SET-VALUED AND VARIATIONAL ANALYSIS 2023年 第3期31卷 1-29页
作者: Combettes, Patrick L. North Carolina State Univ Dept Math Raleigh NC 27695 USA
We introduce the resolvent composition, a monotonicity-preserving operation between a linear operator and a set-valued operator, as well as the proximal composition, a convexity-preserving operation between a linear o... 详细信息
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IMPROVED LAGRANGIAN-PPA BASED PREDICTION CORRECTION METHOD FOR LINEARLY CONSTRAINED CONVEX OPTIMIZATION
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JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION 2023年 第1期19卷 56-68页
作者: You, Yanfei Jiang, Suhong Changzhou Univ Aliyun Sch Big Data Changzhou Jiangsu Peoples R China Nanjing Univ Finance & Econ Sch Accounting Nanjing Jiangsu Peoples R China
This paper presents an improved Lagrangian-PPA based predic-tion correction method to solve linearly constrained convex optimization prob-lem. At each iteration, the predictor is achieved by minimizing the proximal La... 详细信息
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Generalized KM theorems and their applications
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INVERSE PROBLEMS 2006年 第3期22卷 833-844页
作者: Yang, Qingzhi Zhao, Jinling Nankai Univ Sch Math Tianjin 300071 Peoples R China Nankai Univ LPMC Tianjin 300071 Peoples R China
Some algorithms in signal and image processing may be formulated in the Krasnoselski-Mann ( KM) iteration form and the KM theorem asserts the convergence of this iteration under certain assumptions. We give more gener... 详细信息
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CONVERGENCE OF A proximal algorithm FOR SOLVING THE DUAL OF A GENERALIZED FRACTIONAL PROGRAM
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RAIRO-OPERATIONS RESEARCH 2017年 第4期51卷 985-1004页
作者: El Haffari, Mostafa Roubi, Ahmed Fac Sci & Tech Settat Morocco
We propose to use the proximal point algorithm to regularize a "dual" problem of generalized fractional programs (GFP). The proposed technique leads to a new dual algorithm that generates a sequence which co... 详细信息
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Variable metric quasi-Fejer monotonicity
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NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS 2013年 第1期78卷 17-31页
作者: Combettes, Patrick L. Vu, Bang C. Univ Paris 06 CNRS Lab Jacques Louis Lions UMR 7598 F-75005 Paris France
The notion of quasi-Fejer monotonicity has proven to be an efficient tool to simplify and unify the convergence analysis of various algorithms arising in applied nonlinear analysis. In this paper, we extend this notio... 详细信息
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A bundle method using two polyhedral approximations of the ε-enlargement of a maximal monotone operator
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COMPUTATIONAL OPTIMIZATION AND APPLICATIONS 2016年 第1期64卷 75-100页
作者: Nagesseur, Ludovic Univ Antilles LAMIA F-97159 Pointe A Pitre Guadeloupe France
Until now, a few bundle methods for general maximal monotone operators exist and they were only employed with one polyhedral approximation of the -enlargement of the maximal monotone operator considered. However, we f... 详细信息
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Approximating a common zero of finite family of monotone operators in Hadamard spaces
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OPTIMIZATION 2017年 第12期66卷 2233-2244页
作者: Heydari, Mohammad Taghi Khadem, Amene Ranjbar, Sajad Univ Yasuj Coll Sci Dept Math Yasuj Iran Higher Educ Ctr Eghlid Coll Sci Dept Math Eghlid Iran
In this paper, a common zero of a finite family of monotone operators is approximated in Hadamard spaces. Some applications in convex minimization and fixed point theory are also presented.
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