An exact penalty function for semi-infinite programming
Mathematical Programming: Series A and B
A globally convergent SQP method for semi-infinite nonlinear optimization
Journal of Computational and Applied Mathematics
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
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
A nonsmooth inexact Newton method for the solution of large-scale nonlinear 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 New Nonsmooth Equations Approach to Nonlinear Complementarity Problems
SIAM Journal on Control and Optimization
Optimization: algorithms and consistent approximations
Optimization: algorithms and consistent approximations
Mathematics of Operations Research
On the Constant Positive Linear Dependence Condition and Its Application to SQP Methods
SIAM Journal on Optimization
A Smoothing Newton Method for Semi-Infinite Programming
Journal of Global Optimization
A Smoothing Newton Method for Semi-Infinite Programming
Journal of Global Optimization
On the Smoothing of the Square-Root Exact Penalty Function for Inequality Constrained Optimization
Computational Optimization and Applications
The semismooth approach for semi-infinite programming under the Reduction Ansatz
Journal of Global Optimization
Journal of Computational and Applied Mathematics
A smoothing projected Newton-type algorithm for semi-infinite programming
Computational Optimization and Applications
A nonsmooth Levenberg-Marquardt method for solving semi-infinite programming problems
Journal of Computational and Applied Mathematics
Computational Optimization and Applications
A new smoothing Newton-type algorithm for semi-infinite programming
Journal of Global Optimization
SIAM Journal on Optimization
Branch-and-bound reduction type method for semi-infinite programming
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part III
A second-order smooth penalty function algorithm for constrained optimization problems
Computational Optimization and Applications
Smoothing SQP algorithm for semismooth equations with box constraints
Computational Optimization and Applications
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In this paper we present some semismooth Newton methods for solving the semi-infinite programming problem. We first reformulate the equations and nonlinear complementarity conditions derived from the problem into a system of semismooth equations by using NCP functions. Under some conditions a solution of the system of semismooth equations is a solution of the problem. Then some semismooth Newton methods are proposed for solving this system of semismooth equations. These methods are globally and superlinearly convergent. Numerical results are also given.