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A New Perry Conjugate Gradient Method with the Generalized Conjugacy Condition

descriptionPublicationkeyboard_double_arrow_right Article 01 Dec 2010Publisher:IEEEJournal:2010 International Conference on Computational Intelligence and Software Engineering
Authors: Dongyi Liu; Yingfeng Shang;

doi: 10.1109/cise.2010.5677114

A New Perry Conjugate Gradient Method with the Generalized Conjugacy Condition

Abstract

The Perry conjugate gradient method is generalized, from which a new descent algorithm, PDCGy, is presented and its global convergence is proven under Wolfe line searches. Preliminary numerical results for a set of 720 unconstrained optimization test problems verify the performance of the algorithm and show that the PDCGy algorithm is competitive with the CG_DESCENT algorithm.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
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