Results 171 to 180 of about 948 (198)

The Extragradient Method for Convex Optimization

2016
In this chapter we study convergence of the extragradient method for constrained convex minimization problems in a Hilbert space. Our goal is to obtain an e-approximate solution of the problem in the presence of computational errors, where e is a given positive number.
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Interior proximal extragradient method for equilibrium problems

Optimization, 2014
The Bregman function-based Proximal Point Algorithm (BPPA) is an efficient tool for solving equilibrium problems and fixed-point problems. Extending rather classical proximal regularization methods, the main additional feature consists in an application of zone coercive regularizations.
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EXTRAGRADIENT METHOD FOR VARIATIONAL INEQUALITIES

2014
In this paper, we suggest and analyze a new extragradient iterative method, which is suggested by combining a modified extragradient method with the viscosity approximation method, for finding the common element of the set of fixed points of a countable family of nonexpansive mappings, and the solution set of the variational inequality in a Hilbert ...
BNOUHACHEM, A., NOOR, M.a., NOOR, Muhammad Aslam, AL-SAİD, E., KHALFAOUİ , M., ZHAOHAN,  s.   +5 more
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An Implementable Proximal Extragradient Method for Structured Fractional Programming

Journal of Optimization Theory and Applications
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jiajun Hao, Hongjin He, Liangshao Hou
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The extragradient method for quasi-monotone variational inequalities

Optimization, 2020
The goal of this paper is to study quasi-monotone variational inequality problems in infinite dimensional Hilbert spaces and to prove that the iterative sequence generated by an extragradient algor...
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A Modified Extragradient Method for Infinite-Dimensional Variational Inequalities

Acta Mathematica Vietnamica, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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The Extragradient Method for Solving Variational Inequalities

2016
In a Hilbert space, we study the convergence of the subgradient method to a solution of a variational inequality, under the presence of computational errors. The convergence of the subgradient method for solving variational inequalities is established for nonsummable computational errors. We show that the subgradient method generates a good approximate
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Magnetic resonance linear accelerator technology and adaptive radiation therapy: An overview for clinicians

Ca-A Cancer Journal for Clinicians, 2022
William A Hal, X Allen Li, Daniel A Low
exaly  

Hydroxyl Radical Protein Footprinting: A Mass Spectrometry-Based Structural Method for Studying the Higher Order Structure of Proteins

Chemical Reviews, 2022
Lisa M Jones
exaly  

Extragradient Methods for Some Nonlinear Problems

2016
Qamrul Hasan Ansari, D.R. Sahu
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