Výsledky vyhledávání - "proximal point algorithm"

A parameterized proximal point algorithm for separable convex optimization Autor Bai, Jianchao, Zhang, Hongchao, Li, Jicheng

“…In this paper, we develop a parameterized proximal point algorithm (P-PPA) for solving a class of separable convex programming problems subject to linear and convex constraints…”
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A modified proximal point algorithm in geodesic metric space Autor Garodia, Chanchal, Uddin, Izhar, Abdalla, Bahaaeldin, Abdeljawad, Thabet

“…Proximal point algorithm is one of the most popular technique to find either zero of monotone operator or minimizer of a lower semi-continuous function…”
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An Accelerated Inexact Proximal Point Algorithm for Convex Minimization Autor He, Bingsheng, Yuan, Xiaoming

“… In practice, inexact proximal point algorithms which solve the involved proximal subproblems approximately subject to certain inexact criteria are truly implementable…”
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New results on the proximal point algorithm in non-positive curvature metric spaces Autor Khatibzadeh, Hadi, Mohebbi, Vahid, Ranjbar, Sajad

“…The subject of this paper is the inexact proximal point algorithm of usual and Halpern type in non-positive curvature metric spaces…”
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A proximal point algorithm with a ϕ-divergence for quasiconvex programming Autor Cunha, F.G.M., da Cruz Neto, J.X., Oliveira, P.R.

“…We apply the proximal point method with the ϕ-divergence given by for the minimization of quasiconvex functions subject to non-negativity constraints…”
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Distributed Proximal Algorithms for Multiagent Optimization With Coupled Inequality Constraints Autor Li, Xiuxian, Feng, Gang, Xie, Lihua

“… For this problem, a distributed proximal-based algorithm, called distributed proximal primal-dual algorithm, is proposed based on the celebrated centralized proximal point algorithm…”
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Proximal Point Algorithm for a Common of Countable Families of Inverse Strongly Accretive Operators and Nonexpansive Mappings with Convergence Analysis Autor Promluang, Khanittha, Sitthithakerngkiet, Kanokwan, Kumam, Poom

“…In this paper, we investigate and analyze a proximal point algorithm via viscosity approximation method with error…”
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Regularization proximal point algorithm for finding a common fixed point of a finite family of nonexpansive mappings in Banach spaces Autor Kim, Jong Kyu, Tuyen, Truong Minh

“…We study the strong convergence of a regularization proximal point algorithm for finding a common fixed point of a finite family of nonexpansive mappings in a uniformly convex and uniformly smooth Banach space…”
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Variable metric quasi-Fejér monotonicity Autor Combettes, Patrick L., Vũ, Bằng C.

“…The notion of quasi-Fejér monotonicity has proven to be an efficient tool to simplify and unify the convergence analysis of various algorithms arising in…”
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A multi-parameter parallel ADMM for multi-block linearly constrained separable convex optimization Autor Shen, Yuan, Gao, Qianming, Yin, Xue

“…The alternating direction method of multipliers (ADMM) has been proved to be effective for solving two-block convex minimization model subject to linear constraints…”
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Convergence of a proximal point algorithm for maximal monotone operators in Hilbert spaces Autor Wei, Zhiqiang, Shi, Guohong

“…In this article, we consider the proximal point algorithm for the problem of approximating zeros of maximal monotone mappings…”
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Old and new challenges in Hadamard spaces Autor Bačák, Miroslav

“… The attractiveness of these emerging subject fields stems, inter alia, from the fact that some of the new results have already found their applications both in mathematics and outside…”
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Solving monotone inclusions via compositions of nonexpansive averaged operators Autor Combettes, Patrick L.

“…A unified fixed point theoretic framework is proposed to investigate the asymptotic behavior of algorithms for finding solutions to monotone inclusion…”
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One step proximal point schemes for monotone vector field inclusion problems Autor Salisu, Sani, Kumam, Poom, Sriwongsa, Songpon

“…In this paper, we propose one step convex combination of proximal point algorithms for countable collection of monotone vector fields in CAT(0) spaces. We establish $ \Delta…”
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Block matching sparsity regularization-based image reconstruction for incomplete projection data in computed tomography Autor Cai, Ailong, Li, Lei, Zheng, Zhizhong, Zhang, Hanming, Wang, Linyuan, Hu, Guoen, Yan, Bin

“…In medical imaging many conventional regularization methods, such as total variation or total generalized variation, impose strong prior assumptions which can…”
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A proximal point algorithm with a [straight phi]-divergence for quasiconvex programming Autor Cunha, F G M, Neto, JX da Cruz, Oliveira, P R

“…The authors apply the proximal point method with the j-divergence given by ... for the minimization of quasiconvex functions subject to non-negativity constraints…”
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A partial PPA block-wise ADMM for multi-block linearly constrained separable convex optimization Autor Shen, Yuan, Zhang, Xingying, Zhang, Xiayang

“…The alternating direction method of multipliers (ADMM) is a classical effective method for solving two-block convex optimization subject to linear constraints…”
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A parameterized proximal point algorithm for separable convex optimization Autor Bai, Jianchao, Zhang, Hongchao, Li, Jicheng

“…In this paper, we develop a parameterized proximal point algorithm (P-PPA) for solving a class of separable convex programming problems subject to linear and convex constraints…”
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A Family of Multi-Parameterized Proximal Point Algorithms Autor Bai, Jianchao, Guo, Ke, Chang, Xiaokai

“…In this paper, a multi-parameterized proximal point algorithm combining with a relaxation step is developed for solving convex minimization problem subject to linear constraints…”
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On the superlinear convergence of the variable metric proximal point algorithm using Broyden and BFGS matrix secant updating Autor Burke, J.V., Qian, Maijian

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