Work

Techniques for Solving Bound-Constrained Convex Optimization Using Spectral Projected Conjugate Gradient Based on Barzilai-Borwein Step Length

Year: 2024

Type: article

Abstract: This work aims to create an effective spectral conjugate gradient for non-linear optimization problems and to project the solution into a bounded convex set for largescale optimization problems. We do this by combining the classical spectral conjugated gradient direction with the projected Barzilai and Borwein step lengths. The efficacy and convergence of the new method are illustrated through a series of problems.

Source: Advances in Nonlinear Variational Inequalities

DOI: 10.52783/anvi.v28.1978

Author: Sudaba A. Mohammed

Language: English

Topic: Advanced Optimization Algorithms Research

Subfield: Numerical Analysis

Field: Mathematics

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4404390168

FWCI:

Cites:

Cited by:

Related to: 10