标题
Golden ratio algorithms with new stepsize rules for variational inequalities
作者
关键词
-
出版物
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
Volume -, Issue -, Pages -
出版商
Wiley
发表日期
2019-07-12
DOI
10.1002/mma.5703
参考文献
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- (2018) Pham Ngoc Anh et al. Mathematical Modelling and Analysis
- Relatively Smooth Convex Optimization by First-Order Methods, and Applications
- (2018) Haihao Lu et al. SIAM JOURNAL ON OPTIMIZATION
- Strong convergence theorems for equilibrium problems and fixed point problems in Banach spaces
- (2018) Dang Van Hieu et al. Journal of Fixed Point Theory and Applications
- Modified extragradient algorithms for solving equilibrium problems
- (2018) Dang Van Hieu et al. OPTIMIZATION
- Noninstantaneous impulsive inequalities via conformable fractional calculus
- (2018) Surang Sitho et al. JOURNAL OF INEQUALITIES AND APPLICATIONS
- Optimization problems for elastic contact models with unilateral constraints
- (2018) Mircea Sofonea et al. ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND PHYSIK
- New Hermite–Hadamard type integral inequalities for convex functions and their applications
- (2018) Khaled Mehrez et al. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
- New extragradient-like algorithms for strongly pseudomonotone variational inequalities
- (2017) Dang Van Hieu et al. JOURNAL OF GLOBAL OPTIMIZATION
- Inertial projection and contraction algorithms for variational inequalities
- (2017) Q. L. Dong et al. JOURNAL OF GLOBAL OPTIMIZATION
- Some inequalities involving Hadamard-type k -fractional integral operators
- (2017) Praveen Agarwal MATHEMATICAL METHODS IN THE APPLIED SCIENCES
- Modified hybrid projection methods for finding common solutions to variational inequality problems
- (2016) Dang Van Hieu et al. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
- Convergence of One-Step Projected Gradient Methods for Variational Inequalities
- (2016) P. E. Maingé et al. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
- A new incremental constraint projection method for solving monotone variational inequalities
- (2016) F.Q. Xia et al. OPTIMIZATION METHODS & SOFTWARE
- Projected Reflected Gradient Methods for Monotone Variational Inequalities
- (2015) Yu. Malitsky SIAM JOURNAL ON OPTIMIZATION
- Modified projection method for strongly pseudomonotone variational inequalities
- (2013) Pham Duy Khanh et al. JOURNAL OF GLOBAL OPTIMIZATION
- Strong convergence of subgradient extragradient methods for the variational inequality problem in Hilbert space
- (2011) Yair Censor et al. OPTIMIZATION METHODS & SOFTWARE
- Iterative Methods for Solving Systems of Variational Inequalities in Reflexive Banach Spaces
- (2011) Gábor Kassay et al. SIAM JOURNAL ON OPTIMIZATION
- The Subgradient Extragradient Method for Solving Variational Inequalities in Hilbert Space
- (2010) Y. Censor et al. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
- Iterative algorithms for hierarchical fixed points problems and variational inequalities
- (2010) Yonghong Yao et al. MATHEMATICAL AND COMPUTER MODELLING
- Extensions of Korpelevich's extragradient method for the variational inequality problem in Euclidean space
- (2010) Yair Censor et al. OPTIMIZATION
- An iterative algorithm for solving fixed point problems, variational inequality problems and mixed equilibrium problems
- (2009) Yonghong Yao et al. NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- (2009) Amir Beck et al. SIAM Journal on Imaging Sciences
- A Hybrid Extragradient-Viscosity Method for Monotone Operators and Fixed Point Problems
- (2008) Paul-Emile Maingé SIAM JOURNAL ON CONTROL AND OPTIMIZATION
- Systems of generalized nonlinear variational inequalities and its projection methods
- (2007) Yeol Je Cho et al. NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS
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