A derivative-free affine scaling trust region methods based on probabilistic models with new nonmonotone line search technique for linear inequality constrained minimization without strict complementarity-Reference-Cited by-同舟云学术

A derivative-free affine scaling trust region methods based on probabilistic models with new nonmonotone line search technique for linear inequality constrained minimization without strict complementarity

Published:2018-09-30 Issue:4 Volume:96 Page:663-691
ISSN:0020-7160
Container-title:International Journal of Computer Mathematics
language:en
Short-container-title:International Journal of Computer Mathematics

Author:

Wang Peng¹,Zhu Detong²

Affiliation:

1. Mathematics and Statistics College, Hainan Normal University, Hainan, China

2. Mathematics and Science College, Shanghai Normal University, Shanghai, China

Funder

National Science Foundation of China

Natural Science Foundation of Hainan province

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207160.2018.1517208

Reference28 articles.

1. Mesh Adaptive Direct Search Algorithms for Constrained Optimization

2. Convergence of Trust-Region Methods Based on Probabilistic Models

3. An alternate implementation of Goldfarb's minimization algorithm

4. A trust region and affine scaling interior point method for nonconvex minimization with linear inequality constraints

5. Global Convergence of a Class of Trust Region Algorithms for Optimization with Simple Bounds

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