Optimal hybrid BFGS-CG method for unconstrained optimization

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dc.contributor.authorBamigbola, Olabode Matthias
dc.contributor.authorOkundalaye, Oluwaseun O.
dc.contributor.authorEjieji, Catherine N.
dc.date.accessioned2019-04-12T11:31:00Z
dc.date.available2019-04-12T11:31:00Z
dc.date.issued2018
dc.descriptionPublished research paperen_US
dc.description.abstractIn solving unconstrained optimization problems, both quasi-Newton and conjugate gradient methods are known to be e cient methods. Hence, the optimal hybrid Broyden-Fletcher-Goldfarb-Shanno-Conjugate Gradient (OBFGS-CG) method is proposed in this work, which combines the strengths of both BFGS and CG methods. The optimal hybrid BFGS-CG method is based on an existing hybrid BFGS-CG method. The optimal BFGS-CG paramter, when utilised in solving unconstrained optimization problems, resulted in improvement in the total number of iterations and CPU time.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/1740
dc.language.isoenen_US
dc.publisherScience Domainen_US
dc.subjectQuasi-Newtonen_US
dc.subjectHybrid BFGS-conjugate gradienten_US
dc.subjectOptimal method,en_US
dc.subjectUnconstrained optimizationen_US
dc.titleOptimal hybrid BFGS-CG method for unconstrained optimizationen_US
dc.typeArticleen_US

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