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dc.creatorCELIS, MARIA ROSA
dc.date.accessioned 2007-05-09T19:37:38Z
dc.date.available 2007-05-09T19:37:38Z
dc.date.issued 1985
dc.identifier.urihttps://hdl.handle.net/1911/15885
dc.description.abstract Many current algorithms for nonlinear constrained optimization problems determine a search 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 unconstrained optimization, trust region strategies have been very successful. In this thesis 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.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subjectOperations research
dc.title A TRUST REGION STRATEGY FOR NONLINEAR EQUALITY CONSTRAINED OPTIMIZATION (NONLINEAR PROGRAMMING, SEQUENTIAL QUADRATIC)
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Operations Research
thesis.degree.discipline Natural Sciences
thesis.degree.grantor Rice University
thesis.degree.level Doctoral
thesis.degree.name Doctor of Philosophy
dc.identifier.citation CELIS, MARIA ROSA. "A TRUST REGION STRATEGY FOR NONLINEAR EQUALITY CONSTRAINED OPTIMIZATION (NONLINEAR PROGRAMMING, SEQUENTIAL QUADRATIC)." (1985) Diss., Rice University. https://hdl.handle.net/1911/15885.


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