What Happens When We Trust a Region That is a Line?

dc.contributor.authorVicente, Luís N.en_US
dc.date.accessioned2018-06-18T17:42:17Zen_US
dc.date.available2018-06-18T17:42:17Zen_US
dc.date.issued1995-04en_US
dc.date.noteApril 1995en_US
dc.description.abstractLine searches and trust regions are two techniques to globalize nonlinear optimization algorithms. We claim that the trust-region technique has built-in an appropriate regularization of ill-conditioned second-order approximation. The question we ask and then answer in this short paper supports this claim. We force the trust-region technique to act like a line search and we accomplish this by always choosing the step along the quasi-Newton direction. We obtain global first-order convergence as long as the condition number of the second-order approximation is uniformly bounded, a condition that is required in line searches but not in trust regions.en_US
dc.format.extent8 ppen_US
dc.identifier.citationVicente, Luís N.. "What Happens When We Trust a Region That is a Line?." (1995) <a href="https://hdl.handle.net/1911/101855">https://hdl.handle.net/1911/101855</a>.en_US
dc.identifier.digitalTR95-10en_US
dc.identifier.urihttps://hdl.handle.net/1911/101855en_US
dc.language.isoengen_US
dc.relation.HasVersionInvestigacao Operacional, 16, (1996), 173-179en_US
dc.titleWhat Happens When We Trust a Region That is a Line?en_US
dc.typeTechnical reporten_US
dc.type.dcmiTexten_US
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