Results 61 to 70 of about 683 (180)
Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 30, Page 5908-5926, 19 December 2025.Abstract Traffic assignment serves as an important component in modeling flow distribution across infrastructure networks and supporting intelligent traffic management and urban planning. Fast algorithms for solving the stochastic user equilibrium (SUE) model are essential for enhancing computational performance and scalability of traffic assignment ...
Zelin Wang +5 more
wiley +1 more source
A NEW EXTRAGRADIENT METHOD FOR PSEUDOMONOTONE VARIATIONAL INEQUALITIES [PDF]
, 2008 (communicated by Th. Rassias) Abstract. In this paper, we consider and analyze a new extragradient method for solving pseudomonotone variational inequalities.
Muhammad Aslam Noor
core
Mathematical Methods in the Applied Sciences, Volume 47, Issue 12, Page 9637-9668, August 2024.A survey of the existing results in the literature shows that several of the results on variational inequality problem were established under some stringent conditions and employed some form of linesearch technique even in the framework of Hilbert spaces. However, due to the loop nature of the linesearch technique, the implementation of such algorithms
Oluwatosin T. Mewomo +3 more
wiley +1 more source
Structured Prediction via the Extragradient [PDF]
, 2008 We present a simple and scalable algorithm for large-margin estimation of structured models, including an important class of Markov networks and combinatorial models.
Ben Taskar +3 more
core
Projected-Reflected Subgradient-Extragradient Method and Its Real-World Applications [PDF]
, 2021 Our main focus in this work is the classical variational inequality problem with Lipschitz continuous and pseudo-monotone mapping in real Hilbert spaces.
Aviv Gibali +3 more
core +1 more source
A Neural Network Based on a Nonsmooth Equation for a Box Constrained Variational Inequality Problem
Journal of Mathematics, Volume 2024, Issue 1, 2024.The variational inequality framework holds significant prominence across various domains including economic finance, network transportation, and game theory. In addition, a novel approach utilizing a neural network model is introduced in the current work to address a box constrained variational inequality problem.
Yanan Wang +4 more
wiley +1 more source
Extragradient Type Methods for Riemannian Variational Inequality Problems
CoRR, 2023 Riemannian convex optimization and minimax optimization have recently drawn considerable attention. Their appeal lies in their capacity to adeptly manage the non-convexity of the objective function as well as constraints inherent in the feasible set in the Euclidean sense. In this work, we delve into monotone Riemannian Variational Inequality Problems (
Zihao Hu +5 more
openaire +3 more sources
A new version of extragradient method for variational inequality problems [PDF]
, 2008 -In this paper, we propose a new version of extragradient method for the variational inequality problem. The method uses a new searching direction which differs from any one in existing projection-type methods, and is of a better stepsize rule.
Changyu Wang, Yiju Wang
core
Abstract and Applied Analysis, 2013 We first introduce an implicit relaxed method with regularization for finding a common element of the set of fixed points of an asymptotically strict pseudocontractive mapping S in the intermediate sense and the set of solutions of the minimization ...
Lu-Chuan Ceng +2 more
doaj +1 more source
Journal of Mathematics, Volume 2024, Issue 1, 2024.In this research, the modified subgradient extragradient method and K‐mapping generated by a finite family of finite Lipschitzian demicontractions are introduced. Then, a strong convergence theorem for finding a common element of the common fixed point set of finite Lipschitzian demicontraction mappings and the common solution set of variational ...
Sarawut Suwannaut, Erhan Güler
wiley +1 more source