Title
Global convergence of slanting filter methods for nonlinear programming
Abstract
In this paper, we present a general algorithm for nonlinear programming which uses a slanting filter criterion for accepting the new iterates. Independently of how these iterates are computed, we prove that all accumulation points of the sequence generated by the algorithm are feasible. Computing the new iterates by the inexact restoration method, we prove stationarity of all accumulation points of the sequence.
Year
DOI
Venue
2008
10.1016/j.amc.2007.11.043
Applied Mathematics and Computation
Keywords
Field
DocType
Filter methods,Nonlinear programming,Global convergence
Convergence (routing),Mathematical optimization,General algorithm,Mathematical analysis,Nonlinear programming,Numerical analysis,Iterated function,Mathematics
Journal
Volume
Issue
ISSN
200
2
0096-3003
Citations 
PageRank 
References 
7
0.61
8
Authors
3
Name
Order
Citations
PageRank
Elizabeth W. Karas1515.82
Ana P. Oening270.61
Ademir A. Ribeiro3492.90