Title of article :
An Optimum Line Search for Unconstrained Non-Polynomial Test Functions Using Nonlinear Conjugate Gradient Methods
Author/Authors :
Ishaq, A. A. Department of Physical Sciences - Alhikmah University - Ilorin, Nigeria , Latunde, T. Department of Mathematics - Federal University Oye-Ekiti - Oye-Ekiti, Nigeria , Jimoh, F. M. Department of Physical Sciences - Alhikmah University - Ilorin, Nigeria
Pages :
15
From page :
295
To page :
309
Abstract :
The nonlinear conjugate gradient method solves issues of the frame: minimize f(x), x∈R employing an iterative plot, x(k+1)=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
Journal title :
International Journal of Mathematical Modelling and Computations
Serial Year :
2020
Record number :
2731313
Link To Document :
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