A GENERAL CONVERGENCE THEORY FOR QUASI-NEWTON METHODS FOR CONSTRAINED OPTIMIZATION

dc.creatorFONTECILLA, RODRIGOen_US
dc.date.accessioned2007-05-09T19:35:04Zen_US
dc.date.available2007-05-09T19:35:04Zen_US
dc.date.issued1984en_US
dc.description.abstractIn this thesis we study the local convergence of quasi-Newton methods for nonlinear optimization problems with nonlinear equality constraints. A general theory for analyzing the local convergence of the sequence {x(,k)} generated by the diagonalized quasi-Newton method is developed. Conditions on the multiplier update that allow one to determine whether the convergence is q-linear in the x variable alone or in the pair (x,(lamda)) where (lamda) is the correspondent multiplier are specified. Two characterizations of q-superlinear convergence of the sequence {x(,k)} are given. The satisfaction of linearized constraints seems necessary to obtain q-superlinear convergence in the x variable. The use of the DFP or the BFGS secant updates requires the Hessian at the solution to be positive definite. The second order sufficiency conditions insure the positive definiteness only in a subspace of R('n). Conditions are given so we can safely update with either update. A new class of algorithms is proposed which generate a sequence {x(,k)} converging 2-step q-superlinearly. We propose an algorithm that converges q-superlinearly if the Hessian is positive definite in R('n) and it converges 2-step q-superlinearly if the Hessian is positive definite only in a subspace.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.callnoThesis Math. Sci. 1984 Fontecillaen_US
dc.identifier.citationFONTECILLA, RODRIGO. "A GENERAL CONVERGENCE THEORY FOR QUASI-NEWTON METHODS FOR CONSTRAINED OPTIMIZATION." (1984) Diss., Rice University. <a href="https://hdl.handle.net/1911/15819">https://hdl.handle.net/1911/15819</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/15819en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectMathematicsen_US
dc.titleA GENERAL CONVERGENCE THEORY FOR QUASI-NEWTON METHODS FOR CONSTRAINED OPTIMIZATIONen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentMathematical Sciencesen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophyen_US
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