Strong Convergence of Forward–Reflected–Backward Splitting Methods for Solving Monotone Inclusions with Applications to Image Restoration and Optimal Control

Convergence of Two Simple Methods for Solving Monotone Inclusion Problems in Reflexive Banach Spaces

(2022) Chinedu Izuchukwu et al.   Results in Mathematics

Strong convergence of inertial forward–backward methods for solving monotone inclusions

(2021) Tan Bing et al.   APPLICABLE ANALYSIS

Strong convergence of inertial projection and contraction methods for pseudomonotone variational inequalities with applications to optimal control problems

(2021) Bing Tan et al.   JOURNAL OF GLOBAL OPTIMIZATION

Convergence of Halpern’s Iteration Method with Applications in Optimization

(2021) Huiqiang Qi et al.   NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION

Relaxed inertial methods for solving the split monotone variational inclusion problem beyond co-coerciveness

(2021) Chinedu Izuchukwu et al.   OPTIMIZATION

Alternated inertial subgradient extragradient method for equilibrium problems

(2021) Yekini Shehu et al.   Top

A strongly convergent algorithm for solving common variational inclusion with application to image recovery problems

(2021) Raweerote Suparatulatorn et al.   APPLIED NUMERICAL MATHEMATICS

Modified inertial subgradient extragradient method with self adaptive stepsize for solving monotone variational inequality and fixed point problems

(2020) T. O. Alakoya et al.   OPTIMIZATION

Modified forward–backward splitting method for variational inclusions

(2020) Dang Van Hieu et al.   4OR-A Quarterly Journal of Operations Research

A Reflected Forward-Backward Splitting Method for Monotone Inclusions Involving Lipschitzian Operators

(2020) Volkan Cevher et al.   Set-Valued and Variational Analysis

Weak convergence of iterative methods for solving quasimonotone variational inequalities

(2020) Hongwei Liu et al.   COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

Inertial relaxed CQ algorithms for solving a split feasibility problem in Hilbert spaces

(2020) D.R. Sahu et al.   NUMERICAL ALGORITHMS

An inertial extrapolation method for convex simple bilevel optimization

(2019) Yekini Shehu et al.   OPTIMIZATION METHODS & SOFTWARE

Strong convergence of a forward–backward splitting method with a new step size for solving monotone inclusions

(2019) Duong Viet Thong et al.   computational and applied mathematics

Golden ratio algorithms for variational inequalities

(2019) Yura Malitsky   MATHEMATICAL PROGRAMMING

An efficient projection-type method for monotone variational inequalities in Hilbert spaces

(2019) Yekini Shehu et al.   NUMERICAL ALGORITHMS

A Novel Inertial Projection and Contraction Method for Solving Pseudomonotone Variational Inequality Problems

(2019) Prasit Cholamjiak et al.   ACTA APPLICANDAE MATHEMATICAE

Convergence of an extragradient-type method for variational inequality with applications to optimal control problems

(2018) Phan Tu Vuong et al.   NUMERICAL ALGORITHMS

Tseng type methods for solving inclusion problems and its applications

(2018) Aviv Gibali et al.   CALCOLO

Strong convergence of the forward–backward splitting method with multiple parameters in Hilbert spaces

(2017) Yamin Wang et al.   OPTIMIZATION

Projected Reflected Gradient Methods for Monotone Variational Inequalities

(2015) Yu. Malitsky   SIAM JOURNAL ON OPTIMIZATION

A hybrid method without extrapolation step for solving variational inequality problems

(2014) Yu. V. Malitsky et al.   JOURNAL OF GLOBAL OPTIMIZATION

A variant of forward-backward splitting method for the sum of two monotone operators with a new search strategy

(2014) J.Y. Bello Cruz et al.   OPTIMIZATION

Approximation of zeros of inverse strongly monotone operators in Banach spaces

(2011) Satit Saejung et al.   NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS

Strong Convergence Theorems for Maximal Monotone Operators with Nonlinear Mappings in Hilbert Spaces

(2010) S. Takahashi et al.   JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS