A stochastic projection and contraction algorithm with inertial effects for stochastic variational inequalities
From MaRDI portal
Publication:6187733
DOI10.23952/jnva.7.2023.6.08OpenAlexW4389705465MaRDI QIDQ6187733
No author found.
Publication date: 15 January 2024
Published in: Journal of Nonlinear and Variational Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.23952/jnva.7.2023.6.08
convergence resultinertial effectsstochastic variational inequalityprojection and contraction method
Cites Work
- Unnamed Item
- Unnamed Item
- On quasimonotone variational inequalities.
- Sample-path solution of stochastic variational inequalities
- On smoothing, regularization, and averaging in stochastic approximation methods for stochastic variational inequality problems
- Robust sample average approximation
- Seven kinds of monotone maps
- Variance-based subgradient extragradient method for stochastic variational inequality problems
- A fast stochastic approximation-based subgradient extragradient algorithm with variance reduction for solving stochastic variational inequality problems
- On rates of convergence for sample average approximations in the almost sure sense and in mean
- A variational inequality based stochastic approximation for estimating the flexural rigidity in random fourth-order models
- An infeasible stochastic approximation and projection algorithm for stochastic variational inequalities
- An Introduction to Variational Inequalities and Their Applications
- Variance-Based Extragradient Methods with Line Search for Stochastic Variational Inequalities
- Finite-Dimensional Variational Inequalities and Complementarity Problems
- Stochastic Approximation Approaches to the Stochastic Variational Inequality Problem
- Minibatch Forward-Backward-Forward Methods for Solving Stochastic Variational Inequalities
- Stochastic Approximation for Optimization in Shape Spaces
- A Method with Convergence Rates for Optimization Problems with Variational Inequality Constraints
- A Single Timescale Stochastic Approximation Method for Nested Stochastic Optimization
- Regularized Iterative Stochastic Approximation Methods for Stochastic Variational Inequality Problems
- Some methods of speeding up the convergence of iteration methods
- Extragradient Method with Variance Reduction for Stochastic Variational Inequalities
- A Stochastic Approximation Method
- Strong convergence of inertial forward–backward methods for solving monotone inclusions
- New projection methods with inertial steps for variational inequalities
- Relaxed inertial methods for solving the split monotone variational inclusion problem beyond co-coerciveness
