A comparison of Quasi-Newton methods considering line search conditions in unconstrained minimization-Reference-Cited by-同舟云学术

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A comparison of Quasi-Newton methods considering line search conditions in unconstrained minimization

Published:2022-11-17 Issue:8 Volume:43 Page:2031-2053
ISSN:0252-2667
Container-title:Journal of Information and Optimization Sciences
language:en
Short-container-title:Journal of Information and Optimization Sciences

Author:

Kiran Kadir¹²

Affiliation:

1. Department of Airframe and Powerplant Maintenance, School of Civil Aviation, Suleyman Demirel University, Isparta, Turkey

2. Design and Manufacturing Laboratory, Innovative Technologies Application and Research Center, Suleyman Demirel University, Isparta, Turkey

Publisher

Taru Publications

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/02522667.2022.2103303

Reference30 articles.

1. Global Convergence of a Cass of Quasi-Newton Methods on Convex Problems

2. Benchmarking optimization software with performance profiles

3. Spindle dynamics identification using particle swarm optimization

4. Linear and Nonlinear Optimization

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1. Gradient-based autonomous obstacle avoidance trajectory planning for B-spline UAVs;Scientific Reports;2024-06-24

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