A modified nonlinear conjugate gradient method for unconstrained optimization

2015 ◽  
Vol 9 ◽  
pp. 2671-2682 ◽  
Author(s):  
Ibrahim S. Mohammed ◽  
Mustafa Mamat ◽  
Abdelrhaman Abashar ◽  
Mohd Rivaie ◽  
Zabidin Salleh
Keyword(s):  
Unconstrained Optimization ◽  
Conjugate Gradient Method ◽  
Conjugate Gradient ◽  
Gradient Method ◽  
Nonlinear Conjugate Gradient Method ◽  
Nonlinear Conjugate Gradient

scholarly journals The Global Convergence of a New Mixed Conjugate Gradient Method for Unconstrained Optimization

2012 ◽  
Vol 2012 ◽  
pp. 1-14
Author(s):  
Yang Yueting ◽  
Cao Mingyuan
Keyword(s):  
Global Convergence ◽  
Unconstrained Optimization ◽  
Conjugate Gradient Method ◽  
Conjugate Gradient ◽  
Gradient Method ◽  
Line Search ◽  
Nonlinear Conjugate Gradient Method ◽  
Nonlinear Conjugate Gradient ◽  
Wolfe Line Search ◽  
Theoretical Analyses

We propose and generalize a new nonlinear conjugate gradient method for unconstrained optimization. The global convergence is proved with the Wolfe line search. Numerical experiments are reported which support the theoretical analyses and show the presented methods outperforming CGDESCENT method.

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