Abstract
The paper presents concrete realizations of quasi-Newton methods for solving several standard problems including complementarity problems, special variational inequality problems, and the Karush-Kuhn-Tucker (KKT) system of nonlinear programming. A new approximation idea is introduced in this paper. The Q-superlinear convergence of the Newton method and the quasi-Newton method are established under suitable assumptions, in which the existence of F'(x*) is not assumed. The new algorithms only need to solve a linear equation in each step. For complementarity problems, the QR factorization on the quasi-Newton method is discussed.
Original language | English |
---|---|
Pages (from-to) | 463-480 |
Number of pages | 18 |
Journal | SIAM Journal on Optimization |
Volume | 7 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Jan 1997 |
Externally published | Yes |
Keywords
- Newton method
- Nonsmooth equations
- Q-superlinear convergence
- Quasi-Newton method
ASJC Scopus subject areas
- Software
- Theoretical Computer Science