A Diagnostic Treatment of Unconstrained Optimization Problems via a Modified Armijo Line Search Technique

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dc.contributor.authorBamigbola, Olabode Matthias
dc.contributor.authorAdewumi, Aderemi O.
dc.contributor.authorAdeleke, Olawale J.
dc.contributor.authorAgarana, Michael C.
dc.date.accessioned2019-04-10T13:39:33Z
dc.date.available2019-04-10T13:39:33Z
dc.date.issued2014
dc.descriptionIOSR Journal of Mathematics 10(6), 47 - 53. DOI: 10.9790/5728-10664753 www.iosrjournals.orgen_US
dc.description.abstractThe 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.en_US
dc.identifier.citationBamigbola et al. (2014)en_US
dc.identifier.issn2319-765X
dc.identifier.urihttp://hdl.handle.net/123456789/1720
dc.language.isoenen_US
dc.publisherInternational Organization of Scientific Researchen_US
dc.subjectLine searchen_US
dc.subjectConjugate gradient methoden_US
dc.subjectUnconstrained problemsen_US
dc.subjectStep lengthen_US
dc.titleA Diagnostic Treatment of Unconstrained Optimization Problems via a Modified Armijo Line Search Techniqueen_US
dc.typeArticleen_US

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