Open access
Jul 2026
A Hybrid Conjugate Gradient Method for Unconstrained Optimization with Application in Image Restoration
This paper proposes a hybrid conjugate gradient method for solving unconstrained optimization problems by combining two PRP-type directions via convex combination, which dynamically adjusts to gradient change rates and satisfies the sufficient descent property.
Jia-Yu Zheng, Xiang-Song Zhang
· Symmetry · 0 citations