Výsledky vyhledávání - "splitting algorithm"

Splitting algorithms for solving state-dependent maximal monotone inclusion problems Autor Li, Xiaoxiao, Dong, Qiao-Li, Gibali, Aviv

“…We consider the state-dependent maximal monotone inclusion problem and propose forward-backward splitting algorithms for solving it. Strong convergence of the…”
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On the optimal relaxation parameters of Krasnosel'ski-Mann iteration Autor He, Songnian, Dong, Qiao-Li, Tian, Hanlin, Li, Xiao-Huan

“…This paper is devoted to the optimal selection of the relaxation parameter sequence for Krasnosel'ski-Mann iteration. Firstly, we establish the optimal…”
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Convergence rate analysis of proximal gradient methods with applications to composite minimization problems Autor Sahu, D. R., Yao, J. C., Verma, M., Shukla, K. K.

“…First-order methods such as proximal gradient, which use Forward-Backward Splitting techniques have proved to be very effective in solving nonsmooth convex…”
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Four-operator reflected forward-backward algorithm for solving monotone inclusions involving Lipschitzian operator Autor Cao, Yu, Wang, Yuanheng, Ur Rehman, Habib, Shehu, Yekini, Yao, Jen-Chih

“…In this work, using a discretisation of continuous-time dynamical systems, we design a novel splitting algorithm without the lifting technique for finding the…”
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Inertial Douglas–Rachford splitting for monotone inclusion problems Autor Boţ, Radu Ioan, Csetnek, Ernö Robert, Hendrich, Christopher

“…We propose an inertial Douglas–Rachford splitting algorithm for finding the set of zeros of the sum of two maximally monotone operators in Hilbert spaces and…”
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A Novel Algorithm and Its Convergence Analysis for Solving the Generalized Split Inverse Problem Autor Eslamian, Mohammad

“…ABSTRACT In this paper, we consider a bilevel problem: Variational inequalities over the solution set of a general split inverse problem consists of a monotone…”
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A convex-nonconvex framework for enhancing minimization induced penalties Autor Kuroda, Hiroki

“…This paper presents a novel framework for nonconvex enhancement of minimization induced (MI) penalties while preserving the overall convexity of associated…”
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An improved splitting algorithm for unsteady generalized Newtonian fluid flow problems with natural boundary conditions Autor Obbadi, Anouar, El-Amrani, Mofdi, Seaid, Mohammed, Yakoubi, Driss

“…Generalized Newtonian fluids are challenging to solve using the standard projection or fractional-step methods which split the diffusion term from the…”
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Weak and strong convergences of the generalized penalty Forward-Forward and Forward-Backward splitting algorithms for solving bilevel hierarchical pseudomonotone equilibrium problems Autor Riahi, Hassan, Chbani, Zaki, Loumi, Moulay-Tayeb

“…In this paper, we present two penalty-splitting inspired iteration schemes (PFFSA) and (PFFSA) for hierarchical equilibrium problems in Hilbert space. Based on…”
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Cross-Organizational knowledge sharing partner selection based on Fogg Behavioral Model in probabilistic hesitant fuzzy environment Autor Su, Jiafu, Xu, Baojian, Jiang, Lianxin, Liu, Hongyu, Chen, Yijun, Li, Yuan, zhang, Na

“…In the knowledge economy era, knowledge is a vital asset for organizations. Knowledge sharing, as a means of knowledge exchange, effectively facilitates the…”
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Splitting augmented Lagrangian-type algorithms with partial quadratic approximation to solve sparse signal recovery problems Autor Jian, Jinbao, Huang, Qiongxuan, Yin, Jianghua, Zhang, Wei

“…In this paper, we focus on the two-block nonconvex and nonsmooth optimization with linear constraints, where the objective function is the sum of a convex but…”
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Convergence of Stochastic Proximal Gradient Algorithm Autor Rosasco, Lorenzo, Villa, Silvia, Vũ, Bằng Công

“…We study the extension of the proximal gradient algorithm where only a stochastic gradient estimate is available and a relaxation step is allowed. We establish…”
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Further study on symmetric alternating direction method of multipliers for nonconvex optimization Autor Hu, Jia

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A novel dictionary learning method for sparse representation with nonconvex regularizations Autor Tan, Benying, Li, Yujie, Zhao, Haoli, Li, Xiang, Ding, Shuxue

“…In dictionary learning, sparse regularization is used to promote sparsity and has played a major role in the developing of dictionary learning algorithms…”
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Dual-Core: Dual Collision Resolution for Massive Access in Cellular IoT Networks Autor Xie, Huiyang, Tariq Toor, Waqas, Seo, Jun-Bae, Jin, Hu

“…The rapid expansion of Internet of Things (IoT) applications has led to significant access challenges for radio access networks, potentially causing…”
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A stable second-order splitting method for incompressible Navier–Stokes equations using the scalar auxiliary variable approach Autor Obbadi, Anouar, El-Amrani, Mofdi, Seaid, Mohammed, Yakoubi, Driss

“…We propose a novel second-order fractional-step method for the numerical solution of incompressible Navier–Stokes equations. This fractional-step method…”
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A proximal fully parallel splitting method with a relaxation factor for separable convex programming Autor Yin, Jianghua, Jian, Jinbao, Jiang, Xianzhen, Wu, Jiansheng, Ma, Guodong

“…In this paper, we propose a proximal fully parallel splitting method with a relaxation factor for solving separable convex minimization model with linear…”
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A three-operator splitting algorithm with deviations for generalized DC programming Autor Hu, Ziyue, Dong, Qiao-Li

“…In this paper, we introduce a three-operator splitting algorithm with deviations for solving the minimization problem composed of the sum of two convex…”
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Non-convex Total Variation Regularization for Convex Denoising of Signals Autor Selesnick, Ivan, Lanza, Alessandro, Morigi, Serena, Sgallari, Fiorella

“…Total variation (TV) signal denoising is a popular nonlinear filtering method to estimate piecewise constant signals corrupted by additive white Gaussian…”
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CDNA-CCS: Splitting and compression based chaotic-DNA cryptography framework for cloud computing security Autor Jero, J.R. Ancy, Misbha, D.S.

“…Cloud-computing security is a topic of ongoing research, however, when it comes to data sharing, the main disadvantage is that different users may have data…”
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