A Hybrid Conjugate Gradient Algorithm Using the Golden Section Ratio for Unconstrained Optimization Problems

Section: Research Paper
Issue
Vol. 19 No. 2 (2025): Volume 19 Issue 2
Pages
37-49

Keywords:

Unconstrained Optimization, Hybrid Conjugate Gradient, The Golden Section Ratio, Convex Combination, Global Convergence, Sufficient Descent Condition.

Abstract

References

Authors

Sara Sahib Mohammed Zaki

Department of Mathematics, College of Science, University of Sulaimani, Sulaimani, Iraq

Hawraz Nadhim Jabbar

Department of Mathematics, College of Science, University of Kirkuk, Kirkuk, Iraq

Sozan Saber Haider

College of Administration and Economics, University of Sulaimani, Sulaimani, Iraq

Identifiers

DOI: 10.33899/csmj.2025.159795.1187

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A Hybrid Conjugate Gradient Algorithm Using the Golden Section Ratio for Unconstrained Optimization Problems. (2025). AL-Rafidain Journal of Computer Sciences and Mathematics, 19(2), 37-49. https://doi.org/10.33899/csmj.2025.159795.1187
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How to Cite

A Hybrid Conjugate Gradient Algorithm Using the Golden Section Ratio for Unconstrained Optimization Problems. (2025). AL-Rafidain Journal of Computer Sciences and Mathematics, 19(2), 37-49. https://doi.org/10.33899/csmj.2025.159795.1187