Title of article :
A globally convergent gradient-like method based on the Armijo line search
Author/Authors :
Kamandi, Ahmad Department of Mathematics - University of Science and Technology of Mazandaran, Behshahr, Iran , Amini, Keyvan Department of Mathematics - Razi university, Kermanshah, Iran
Abstract :
In this paper, a new conjugate gradient-like algorithm is proposed to solve unconstrained optimization problems. The step directions generated by the new algorithm satisfy sufficient descent condition independent of the line search. The global convergence of the new algorithm, with the Armijo backtracking line search, is proved. Numerical experiments indicate the efficiency and robustness of the new algorithm.
Keywords :
Unconstrained optimization , conjugate gradient algorithm , global convergence , Armijo condition
Journal title :
Journal of Mathematical Modeling(JMM)
