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
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