TY - JOUR
T1 - A New Spectral Conjugate Gradient Method and Its Global Convergence
AU - Min SUN and Jing LIU
JO - Journal of Information and Computing Science
VL - 1
SP - 075
EP - 080
PY - 2024
DA - 2024/01
SN - 8
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22630.html
KW - spectral conjugate gradient method
KW -  sufficient descent
KW -  global convergence 

AB - Combining the advantage of spectral-gradient method, a spectral conjugate gradient method for 
the  global  optimization  is  presented.  This  method  has  the  property  that  the  generated  search  direction  is 
sufficiently descent without utilizing the line search. The proof of the convergence of the proposed method is 
given. Numerical experiments show that the method is efficient and feasible.