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dc.contributor.authorColeman, Thomas F.en_US
dc.contributor.authorYuan, Weien_US
dc.date.accessioned2007-04-23T16:27:04Z
dc.date.available2007-04-23T16:27:04Z
dc.date.issued1995-03en_US
dc.identifier.citationhttp://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR95-1477en_US
dc.identifier.urihttps://hdl.handle.net/1813/6086
dc.description.abstractWe present a new trust region algorithms for solving nonlinear equality constrained optimization problems. At each iterate a change of variables is performed to improve the ability of the algorithm to follow the constraint level sets. The algorithm employs $L_{2}$ penalty functions for obtaining global convergence. Under certain assumptions we prove that this algorithm globally converges to a point satisfying the second order necessary optimality conditions; the local convergence rate is quadratic. Results of preliminary numerical experiments are presented.en_US
dc.format.extent329516 bytes
dc.format.extent433240 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.language.isoen_USen_US
dc.publisherCornell Universityen_US
dc.subjectcomputer scienceen_US
dc.subjecttechnical reporten_US
dc.titleA New Trust Region algorithm for Equality Constrained Optimizationen_US
dc.typetechnical reporten_US


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