A nonsmooth version of Newton's method
Mathematical Programming: Series A and B
Convergence analysis of some algorithms for solving nonsmooth equations
Mathematics of Operations Research
Solution of monotone complementarity problems with locally Lipschitzian functions
Mathematical Programming: Series A and B - Special issue on computational nonsmooth optimization
Mathematics of Operations Research
On Homotopy-Smoothing Methods for Box-Constrained Variational Inequalities
SIAM Journal on Control and Optimization
Existence and Limiting Behavior of Trajectories Associatedwith P0-equations
Computational Optimization and Applications - Special issue on computational optimization—a tribute to Olvi Mangasarian, part I
A Global and Local Superlinear Continuation-Smoothing Method for P0 and R0 NCP or Monotone NCP
SIAM Journal on Optimization
SIAM Journal on Optimization
SIAM Journal on Optimization
Computational Optimization and Applications
A nonmonotone smoothing Newton algorithm for solving nonlinear complementarity problems
Optimization Methods & Software
A regularized smoothing-type algorithm for solving a system of inequalities with a P0-function
Journal of Computational and Applied Mathematics
A nonmonotone smoothing-type algorithm for solving a system of equalities and inequalities
Journal of Computational and Applied Mathematics
A Non-monotone Line Search Algorithm for Unconstrained Optimization
Journal of Scientific Computing
Solvability of Newton equations in smoothing-type algorithms for the SOCCP
Journal of Computational and Applied Mathematics
A non-interior continuation algorithm for the CP based on a generalized smoothing function
Journal of Computational and Applied Mathematics
A full-Newton step non-interior continuation algorithm for a class of complementarity problems
Journal of Computational and Applied Mathematics
A fixed-point method for a class of super-large scale nonlinear complementarity problems
Computers & Mathematics with Applications
Hi-index | 7.30 |
In this paper we consider system of inequalities. By constructing a new smoothing function, the problem is approximated via a family of parameterized smooth equations. A Newton-type algorithm is applied to solve iteratively the smooth equations so that a solution of the problem concerned is found. We show that the algorithm is globally and locally quadratically convergent under suitable assumptions. Preliminary numerical results are reported.