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Please use this identifier to cite or link to this item: http://hdl.handle.net/1813/6349
Title: On the Local Convergence of a Quasi-Newton Method for the Nonlinear Programming Problem
Authors: Coleman, Thomas F.
Conn, Andrew R.
Keywords: computer science
technical report
Issue Date: Aug-1982
Publisher: Cornell University
Citation: http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR82-509
Abstract: In this paper we propose a new local quasi-Newton method to solve the equality constrained non-linear programming problem. The pivotal feature of the algorithm is that a projection of the Hessian of the Lagrangian is approximated by a sequence of symmetric positive definitive matrices. The matrix approximation is updated at every iteration by a projected version of the DFP or BFGS formula. We establish that the method is locally convergent and the sequence of x-values converges to the solution at a 2-step Q-superlinear rate.
URI: http://hdl.handle.net/1813/6349
Appears in Collections:Computer Science Technical Reports

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