A nonsmooth version of Newton's method
Mathematical Programming: Series A and B
A globally convergent Newton method for solving strongly monotone variational inequalities
Mathematical Programming: Series A and B
Modified Projection-Type Methods for Monotone Variational Inequalities
SIAM Journal on Control and Optimization
A New Nonsmooth Equations Approach to Nonlinear Complementarity Problems
SIAM Journal on Control and Optimization
Interior point algorithms: theory and analysis
Interior point algorithms: theory and analysis
A Modified Forward-Backward Splitting Method for Maximal Monotone Mappings
SIAM Journal on Control and Optimization
Journal of Computational and Applied Mathematics - Special issue on numerical analysis 2000 Vol. IV: optimization and nonlinear equations
Semidefinite Programs: New Search Directions, Smoothing-Type Methods, and Numerical Results
SIAM Journal on Optimization
SIAM Journal on Optimization
Regularization of P0-Functions in Box Variational Inequality Problems
SIAM Journal on Optimization
Computational Optimization and Applications
A Smoothing Method for a Mathematical Program with P-Matrix Linear Complementarity Constraints
Computational Optimization and Applications
Sub-quadratic convergence of a smoothing Newton algorithm for the P0– and monotone LCP
Mathematical Programming: Series A and B
Strong Semismoothness of the Fischer-Burmeister SDC and SOC Complementarity Functions
Mathematical Programming: Series A and B
Computational Optimization and Applications
Variational Inequalities and Economic Equilibrium
Mathematics of Operations Research
A smoothing Newton-type method for generalized nonlinear complementarity problem
Journal of Computational and Applied Mathematics
A two-stage prediction-correction method for solving monotone variational inequalities
Journal of Computational and Applied Mathematics
Hi-index | 7.29 |
In this paper, we focus on the variational inequality problem. Based on the Fischer-Burmeister function with smoothing parameters, the variational inequality problem can be reformulated as a system of parameterized smooth equations, a non-interior-point smoothing method is presented for solving the problem. The proposed algorithm not only has no restriction on the initial point, but also has global convergence and local quadratic convergence, moreover, the local quadratic convergence is established without a strict complementarity condition. Preliminary numerical results show that the algorithm is promising.