On the Barzilai–Borwein gradient methods with structured secant equation for nonlinear least squares problems-Reference-Cited by-同舟云学术

On the Barzilai–Borwein gradient methods with structured secant equation for nonlinear least squares problems

Published:2020-12-16 Issue: Volume: Page:1-20
ISSN:1055-6788
Container-title:Optimization Methods and Software
language:en
Short-container-title:Optimization Methods and Software

Author:

Awwal Aliyu Muhammed¹²³^ORCID,Kumam Poom¹⁴^ORCID,Wang Lin⁵,Yahaya Mahmoud Muhammad¹^ORCID,Mohammad Hassan³⁶^ORCID

Affiliation:

1. Fixed Point Research Laboratory, Department of Mathematics, Science Laboratory Building, Faculty of Science, King Mongkut's University of Technology Thonburi (KMUTT), Thrung Khru, Bangkok, Thailand

2. Department of Mathematics, Faculty of Science, Gombe State University, Gombe, Nigeria

3. Numerical Optimization Group, Bayero University, Kano, Nigeria

4. Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan

5. Office of Science and Research, Yunnan University of Finance and Economics, Kunming, People's Republic of China

6. Department of Mathematical Sciences, Faculty of Physical Science, Bayero University, Kano, Nigeria

Publisher

Informa UK Limited

Subject

Applied Mathematics,Control and Optimization,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/10556788.2020.1855170

Reference38 articles.

1. Scaled memoryless BFGS preconditioned conjugate gradient algorithm for unconstrained optimization

2. A Two-Step Spectral Gradient Projection Method for System of Nonlinear Monotone Equations and Image Deblurring Problems

3. Nonlinear ill-posed problem analysis in model-based parameter estimation and experimental design

4. Two-Point Step Size Gradient Methods

5. Structured minimal-memory inexact quasi-Newton method and secant preconditioners for augmented Lagrangian optimization

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