Skip to main content


eCommons@Cornell >
Faculty of Computing and Information Science >
Center for Advance Computing >
Cornell Theory Center Technical Reports >

Please use this identifier to cite or link to this item:
Title: A New Trust Region Algorithm for Equality Constrained Optimization
Authors: Coleman, Thomas F.
Yuan, Wei
Keywords: theory center
Issue Date: Jan-1995
Publisher: Cornell University
Abstract: We present a new trust algorithm 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 L2 penalty function for obtaining global convergence. Under certain assumptions we prove that this algorithm globally converges to a point satisfying the second order necessary optimally conditions; the local convergence rate is quadratic. Results of preliminary numerical experiments are presented.
Appears in Collections:Cornell Theory Center Technical Reports

Files in This Item:

File Description SizeFormat
95-205.pdf321.79 kBAdobe PDFView/Open
95-205.ps423.09 kBPostscriptView/Open

Refworks Export

Items in eCommons are protected by copyright, with all rights reserved, unless otherwise indicated.


© 2014 Cornell University Library Contact Us