A Diagnostic Treatment of Unconstrained Optimization Problems via a Modified Armijo Line Search Technique
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Date
2014
Journal Title
Journal ISSN
Volume Title
Publisher
International Organization of Scientific Research
Abstract
The study of optimization is getting broader with every passing day. Optimization is basically the art
of getting the best results under a given set of circumstances. A very simple but important class of optimization
problems is the unconstrained problems. Several techniques have been developed to handle unconstrained
problems, one of which is the conjugate gradient method (CGM), which is iterative in nature. In this work, we
applied the nonlinear CGM to solve unconstrained problems using inexact line search techniques. We employed
the well-known Armijo line search criterion and its modified form.
Description
IOSR Journal of Mathematics 10(6), 47 - 53. DOI: 10.9790/5728-10664753 www.iosrjournals.org
Keywords
Line search, Conjugate gradient method, Unconstrained problems, Step length
Citation
Bamigbola et al. (2014)