Open AccessAn Improved HS Type Spectral Conjugate Gradient Method
Author(s) -
Jing Li,
Shujie Jing
Publication year - 2021
Publication title -
xue xi yu jiao yu
Language(s) - English
Resource type - Journals
ISSN - 2251-2802
DOI - 10.18282/l-e.v10i3.2422
Subject(s) - conjugate gradient method , nonlinear conjugate gradient method , derivation of the conjugate gradient method , conjugate residual method , gradient method , conjugate , gradient descent , convergence (economics) , mathematics , mathematical optimization , computer science , mathematical analysis , artificial intelligence , artificial neural network , economics , economic growth
The spectral conjugate gradient (SCG) method was one of the most commomly used method to solve nonlinear unconstrained optimization problems. In this paper, an improved HS spectral conjugate gradient method is proposed. Under common assumptions, the descent and global convergence of this method are proved.