Abstract
This paper discusses a new derivative-free line search method for nonlinear monotone equations. It uses a derivative-free direction based on Dai–Liao method, along which an improved line search–called IDFLS–is tried. In contrast to the basic line search method–called BasicLS–by Solodov and Svaiter, IDFLS uses extrapolation steps to guarantee a decrease in the function norm. In fact, IDFLS never accept a point with the worst function norm, while BasicLS may accept such a point. The global convergence of our method is established under the assumption that the underlying mapping is monotone. The numerical results show that the new method is competitive in comparison with the state-of-the-art methods.
| Original language | English |
|---|---|
| Pages (from-to) | 1119-1137 |
| Number of pages | 19 |
| Journal | Optimization |
| Volume | 72 |
| Issue number | 5 |
| DOIs | |
| State | Published - 2023 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2021 Informa UK Limited, trading as Taylor & Francis Group.
Keywords
- Nonlinear monotone equations
- derivative-free optimization
- global convergence
- line search method
ASJC Scopus subject areas
- Control and Optimization
- Management Science and Operations Research
- Applied Mathematics
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