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  5. A Globally Convergent Method for Nonlinear Programming

A Globally Convergent Method for Nonlinear Programming

File(s)
75-257.pdf (517.9 KB)
75-257.ps (167.11 KB)
Permanent Link(s)
https://hdl.handle.net/1813/6209
Collections
Computer Science Technical Reports
Author
Han, Shih-Ping
Abstract

Recently developd Newton and quasi-Newton methods for nonlinear programming possess only local convergence properties. Adopting the concept of the damped Newton method in unconstrained optimization, we propose a stepsize procedure to maintain monotone decrease of an exact penalty function. In so doing, the convergence of the method is globalized. Keywords: nonlinear programming, global convergence, exact penalty function.

Date Issued
1975-08
Publisher
Cornell University
Keywords
computer science
•
technical report
Previously Published as
http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR75-257
Type
technical report

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