A new efficient alternative extension of the Hager-Zhang conjugate gradient method for vector optimization
Abstract
In this paper, a new efficient alternative extension of the Hager-Zhang conjugate gradient method is proposed to solve the vector optimization problem that ensures sufficient descent without relying on any linear search or convexity assumptions.We give the convergence of our proposed method combined with Wolfe line search under mild assumptions.Finally, we show through numerical experiments that our proposed method is more efficient than the extant related vector Hagar-Zhang conjugate method.
Fields of Study & Subjects
Advanced Optimization Algorithms Research
Optimization and Variational Analysis
Matrix Theory and Algorithms
Publication details
- Journal / source
- Optimization Eruditorum
- Volume
- 3
- Issue
- 1
- Publication date
- 4 March 2026
- Language
- EN