A Trust Region Strategy for Nonlinear Equality Constrained Optimization

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dc.contributor.authorCelis, M.R.en_US
dc.contributor.authorDennis, J.E. Jr.en_US
dc.date.accessioned2018-06-18T17:23:57Zen_US
dc.date.available2018-06-18T17:23:57Zen_US
dc.date.issued1984-09en_US
dc.date.noteSeptember 1984en_US
dc.description.abstractMany current algorithms for nonlinear constrained optimization problems determine a direction by solving a quadratic programming subproblem. The global convergence properties are addressed by using a line search technique and a merit function to modify the length of the step obtained from the quadratic program. In constrained optimization, trust regions strategies have been very successful. In this paper we present a new approach for equality constrained optimization problems based on a trust region strategy. The direction selected is not necessarily the solution of the standard quadratic programming subproblem.en_US
dc.format.extent15 ppen_US
dc.identifier.citationCelis, M.R. and Dennis, J.E. Jr.. "A Trust Region Strategy for Nonlinear Equality Constrained Optimization." (1984) <a href="https://hdl.handle.net/1911/101573">https://hdl.handle.net/1911/101573</a>.en_US
dc.identifier.digitalTR84-01en_US
dc.identifier.urihttps://hdl.handle.net/1911/101573en_US
dc.language.isoengen_US
dc.titleA Trust Region Strategy for Nonlinear Equality Constrained Optimizationen_US
dc.typeTechnical reporten_US
dc.type.dcmiTexten_US
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