Two Algorithms for LC1 Unconstrained Optimization

Authors

  • Wen-Yu Sun
  • R. J. B. de Sampaio
  • Jin-Yun Yuan

Keywords:

Nonsmooth optimization, Directional derivative, Newton-like method, Convergence, Trust region method.

Abstract

In this paper we present two algorithms for $LC^1$ unconstrained optimization problems which use the second order Dini upper directional derivative. These methods are simple and easy to perform. We discuss the related properties of the iteration function, and establish the global and superlinear convergence of our methods.  

Downloads

Published

2021-07-01

Abstract View

  • 66

Pdf View

  • 26

Issue

Vol. 18 No. 6 (2000)

Section

Articles

How to Cite

Two Algorithms for LC1 Unconstrained Optimization. (2021). Journal of Computational Mathematics, 18(6), 621-632. https://global-sci.com/index.php/JCM/article/view/11396