Abstract
We develop an iterative method for solving the KKT system of the semi-infinite programming (SIP) problem. At each iteration, we solve the KKT system of a nonlinear programming problem with finite constraints by a semismooth Newton method. The algorithm either terminates at a KKT point of the SIP problem in finitely many iterations or generates an infinite sequence of iterates whose any accumulation point is a KKT point of the problem. We also analyse the convergence rate of the method. Preliminary numerical results are reported.
Original language | English |
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Pages (from-to) | 629-643 |
Number of pages | 15 |
Journal | Optimization Methods and Software |
Volume | 20 |
Issue number | 6 |
DOIs | |
Publication status | Published - 1 Dec 2005 |
Keywords
- KKT system
- Semi-infinite programming
- Semismooth equation
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Software
- Applied Mathematics
- Control and Optimization
- Management Science and Operations Research