Two efficient spectral hybrid CG methods based on memoryless BFGS direction and Dai–Liao conjugacy condition-Reference-Cited by-同舟云学术

Two efficient spectral hybrid CG methods based on memoryless BFGS direction and Dai–Liao conjugacy condition

Published:2024-06-27 Issue: Volume: Page:1-19
ISSN:1055-6788
Container-title:Optimization Methods and Software
language:en
Short-container-title:Optimization Methods and Software

Author:

Liu Pengjie¹²,Yuan Zihang¹,Zhuo Yue¹,Shao Hu¹

Affiliation:

1. School of Mathematics, Jiangsu Center for Applied Mathematics (CUMT), China University of Mining and Technology, Xuzhou, Jiangsu, People's Republic of China

2. Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, People's Republic of China

Funder

National Natural Science Foundation of China

Key Laboratory of Mathematics and Engineering Applications, Ministry of Education

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10556788.2024.2364203

Reference37 articles.

1. Descent Property and Global Convergence of the Fletcher—Reeves Method with Inexact Line Search

2. Numerical Experience with a Class of Self-Scaling Quasi-Newton Algorithms

3. A modified Hestenes–Stiefel conjugate gradient method with an optimal property

4. An unconstrained optimization test functions collection;Andrei N.;Adv. Model. Optim.,2008

5. Another hybrid conjugate gradient algorithm for unconstrained optimization

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