An Optimum Line Search for Unconstrained Non-Polynomial Test Functions ‎U‎sing Nonlinear Conjugate Gradient Methods

The nonlinear conjugate gradient method solves issues of the frame: minimize f(x), x∈Remploying an iterative plot, x(k+۱)=x(k)+αk d(k), where f is a non-polynomial function. We utilized two variants of the optimum line search namely, direct and indirect methods, to compute the step-length in this paper. Both line searches yielded a great outcome when employed to a few unconstrained non-polynomial test functions.

Keywords:

Nonlinear conjugate gradient method , step-length , line search , unconstrained optimization problem , Large scale problems‎