TY - JOUR
T1 - Global Convergence of a New Conjugate Gradient Method with Wolfe Type Line Search
AU - Y.y. Chen
JO - Journal of Information and Computing Science
VL - 1
SP - 067
EP - 071
PY - 2024
DA - 2024/01
SN - 7
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22663.html
KW - 
AB -    In  this  paper,  a  new  nonlinear  conjugate  gradient  methods  with  wolfe  type  line  search  for 
solving unstrained optimization problems is proposed. The direction generated by the new methods produce 
sufficient  descent  search  direction.  Under  some  conditions,  we  give  the  global  convergence  results  for  the 
new nonlinear conjugate gradient methods with Wolfe type line search. Finally, the numerical results show 
that the new method is also efficient for general unconstrained optimizations.