Mathematical Programming: Series A and B
NE/SQP: a robust algorithm for the nonlinear complementarity problem
Mathematical Programming: Series A and B
Some Noninterior Continuation Methods for LinearComplementarity Problems
SIAM Journal on Matrix Analysis and Applications
A semismooth equation approach to the solution of nonlinear complementarity problems
Mathematical Programming: Series A and B
Modified Newton methods for solving a semismooth reformulation of monotone complementarity problems
Mathematical Programming: Series A and B - Special issue on computational nonsmooth optimization
Solution of monotone complementarity problems with locally Lipschitzian functions
Mathematical Programming: Series A and B - Special issue on computational nonsmooth optimization
A reduction method for variational inequalities
Mathematical Programming: Series A and B
A smoothing Newton method for general nonlinear complementarity problems
Computational Optimization and Applications - Special issue on nonsmooth and smoothing methods
SIAM Journal on Optimization
A New Merit Function For Nonlinear Complementarity Problems And A Related Algorithm
SIAM Journal on Optimization
On the Accurate Identification of Active Constraints
SIAM Journal on Optimization
Jacobian Smoothing Methods for Nonlinear Complementarity Problems
SIAM Journal on Optimization
Regularity Properties of a Semismooth Reformulation of Variational Inequalities
SIAM Journal on Optimization
Mathematical Programming: Series A and B
A Class of Active-Set Newton Methods for Mixed Complementarity Problems
SIAM Journal on Optimization
Mathematical Programming: Series A and B
A smoothing conic trust region filter method for the nonlinear complementarity problem
Journal of Computational and Applied Mathematics
Hi-index | 7.29 |
We present a new smoothing Newton method for nonlinear complementarity problems (NCP(F)) by using an NCP function to reformulate the problem to its equivalent form. Compared with most current smoothing methods, our method contains an estimating technique based on the active-set strategy. This technique focuses on the identification of the degenerate set for a solution x^* of the NCP(F). The proposed method has the global convergence, each accumulation point is a solution of the problem. The introduction of the active-set strategy effectively reduces the scale of the problem. Under some regularity assumption, the degenerate set can be identified correctly near the solution and local superlinear convergence is obtained as well.