An extragradient algorithm for solving general nonconvex variational inequalities
In this work, we suggest and analyze an extragradient method for solving general nonconvex variational inequalities using the technique of the projection operator. We prove that the convergence of the extragradient method requires only pseudomonotonicity,
Noor, Muhammad Aslam
core +1 more source
A new extragradient algorithm for split equilibrium problems and fixed point problems
In this paper, we present a new extragradient algorithm for approximating a solution of the split equilibrium problems and split fixed point problems.
Narin Petrot +3 more
doaj +1 more source
The purpose of this paper is to introduce a new modified relaxed extragradient method and study for finding some common solutions for a general system of variational inequalities with inversestrongly monotone mappings and nonexpansive mappings in the ...
Yuanheng Wang, Liu Yang
core
A new modified extragradient method with Bregman divergence
Предложен новый метод экстраградиентного типа для решения вариационных неравенств с псевдомонотонными и липшицевыми операторами, действующими в конечномерном линейном нормированном пространстве.
Семёнов, В.В.
core +1 more source
Image and signal recovery via a novel alternating golden ratio two-subgradient extragradient method
We introduce and analyze a novel two-subgradient extragradient method (TSEGM) for solving monotone variational inequality problems (VIPs) in real Hilbert spaces.
Habib ur Rehman +3 more
doaj +1 more source
Modified extragradient method with Bregman divergence for variational inequalities
Предложен новый метод екстраградиентного типа для приближенного решения вариационных неравенств с псевдомонотонными и липшицевимы операторами, действующими в конечномерном линейном нормированном пространстве.
Семенов, В.В.
core +2 more sources
Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies. [PDF]
Aja-Fernández S +45 more
europepmc +1 more source
The objective of this research is to present a novel approach to enhance the extragradient algorithm’s efficiency for finding an element within a set of fixed points of nonexpansive mapping and the set of solutions for equilibrium problems. Specifically,
Anchalee Sripattanet, Atid Kangtunyakarn
doaj +1 more source
Exchange rates and multicommodity international trade: insights from spatial price equilibrium modeling with policy instruments via variational inequalities. [PDF]
Nagurney A +3 more
europepmc +1 more source
Intelligent prediction models based on machine learning for CO2 capture performance by graphene oxide-based adsorbents. [PDF]
Fathalian F +3 more
europepmc +1 more source

