Error bounds for monotone linear complementarity problems
Mathematical Programming: Series A and B
Projected gradient methods for linearly constrained problems
Mathematical Programming: Series A and B
On the convergence of projected gradient processes to singular critical points
Journal of Optimization Theory and Applications
A posteriori error bounds for the linearly-constrained varitional inequality problem
Mathematics of Operations Research
On the identification of active constraints
SIAM Journal on Numerical Analysis
Mathematical Programming: Series A and B
Mathematical Programming: Series A and B
USSR Computational Mathematics and Mathematical Physics
SIAM Journal on Control and Optimization
Finite termination of the proximal point algorithm
Mathematical Programming: Series A and B
Mathematical Programming: Series A and B
Mathematical Programming: Series A and B
A globally convergent Newton method for solving strongly monotone variational inequalities
Mathematical Programming: Series A and B
A new method for a class of linear variational inequalities
Mathematical Programming: Series A and B
Journal of Optimization Theory and Applications
On linear convergence of iterative methods for the variational inequality problem
Proceedings of the international meeting on Linear/nonlinear iterative methods and verification of solution
Nondegenerate Solutions and Related Concepts in Affine Variational Inequalities
SIAM Journal on Control and Optimization
Mathematical Programming: Series A and B
Modified Projection-Type Methods for Monotone Variational Inequalities
SIAM Journal on Control and Optimization
A class of iterative methods for solving nonlinear projection equations
Journal of Optimization Theory and Applications
Fixed-point technique for implicit complementarity problem in Hilbert lattice
Journal of Optimization Theory and Applications
Family of projected descent methods for optimization problems with simple bounds
Journal of Optimization Theory and Applications
Error bounds in mathematical programming
Mathematical Programming: Series A and B - Special issue: papers from ismp97, the 16th international symposium on mathematical programming, Lausanne EPFL
Proximal Minimization Methods with Generalized Bregman Functions
SIAM Journal on Control and Optimization
A class of combined iterative methods for solving variational inequalities
Journal of Optimization Theory and Applications
A combined relaxation method for variational inequalities with nonlinear constraints
Mathematical Programming: Series A and B
Computational Optimization and Applications
Journal of Optimization Theory and Applications
On quasimonotone variational inequalities
Journal of Optimization Theory and Applications
A New Projection Method for Variational Inequality Problems
SIAM Journal on Control and Optimization
A Modified Forward-Backward Splitting Method for Maximal Monotone Mappings
SIAM Journal on Control and Optimization
Decomposition method for a class of monotone variational inequality problems
Journal of Optimization Theory and Applications
Journal of Computational and Applied Mathematics - Special issue on numerical analysis 2000 Vol. IV: optimization and nonlinear equations
On Dual Convergence of the Generalized Proximal Point Method with Bregman Distances
Mathematics of Operations Research
Local convergence behavior of some projection-type methods for affine variational inequalities
Journal of Optimization Theory and Applications
Pseudomonotone variational inequalities: convergence of proximal methods
Journal of Optimization Theory and Applications
Unified framework of extragradient-type methods for pseudomonotone variational inequalities
Journal of Optimization Theory and Applications
A Weak-to-Strong Convergence Principle for Fejé-Monotone Methods in Hilbert Spaces
Mathematics of Operations Research
A Proximal Point Method for the Variational Inequality Problem in Banach Spaces
SIAM Journal on Control and Optimization
Proximal Point Approach and Approximation of Variational Inequalities
SIAM Journal on Control and Optimization
SIAM Journal on Optimization
Alternating Projection-Proximal Methods for Convex Programming and Variational Inequalities
SIAM Journal on Optimization
On the Accurate Identification of Active Constraints
SIAM Journal on Optimization
Weak Sharp Solutions of Variational Inequalities
SIAM Journal on Optimization
A Truly Globally Convergent Newton-Type Method for the Monotone Nonlinear Complementarity Problem
SIAM Journal on Optimization
A Generalized Proximal Point Algorithm for the Variational Inequality Problem in a Hilbert Space
SIAM Journal on Optimization
An Active Set Newton Algorithm for Large-Scale Nonlinear Programs with Box Constraints
SIAM Journal on Optimization
Newton's Method for Large Bound-Constrained Optimization Problems
SIAM Journal on Optimization
Convergence Rates in Forward--Backward Splitting
SIAM Journal on Optimization
Iterative Schemes for Multivalued Quasi Variational Inclusions
Journal of Global Optimization
Local convergence analysis of projection-type algorithms: unified approach
Journal of Optimization Theory and Applications
Some Methods Based on the D-Gap Function for Solving Monotone Variational Inequalities
Computational Optimization and Applications
Some new projection methods for variational inequalities
Applied Mathematics and Computation
Some algorithms for general monotone mixed variational inequalities
Mathematical and Computer Modelling: An International Journal
Pseudomonotone general mixed variational inequalities
Applied Mathematics and Computation
A new double projection algorithm for variational inequalities
Journal of Computational and Applied Mathematics
Computers & Mathematics with Applications
Journal of Global Optimization
An additional projection step to He and Liao's method for solving variational inequalities
Journal of Computational and Applied Mathematics
Algorithm for solving a new class of general mixed variational inequalities in Banach spaces
Journal of Computational and Applied Mathematics
A kind of QP-free feasible method
Journal of Computational and Applied Mathematics
A superlinearly convergent projection method for constrained systems of nonlinear equations
Journal of Global Optimization
A new double projection algorithm for variational inequalities
Journal of Computational and Applied Mathematics
Some projection-like methods for the generalized Nash equilibria
Computational Optimization and Applications
Nonlinear complementarity problem and solution methods
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
A primal-dual gradient method for image decomposition based on (BV, H-1)
Multidimensional Systems and Signal Processing
Finding flow equilibrium with projective methods with decomposition and route generation
Automation and Remote Control
Automation and Remote Control
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Projection-type methods are a class of simple methods for solving variational inequalities, especially for complementarity problems. In this paper we review and summarize recent developments in this class of methods, and focus mainly on some new trends in projection-type methods.