A Globally and R-Linearly Convergent Hybrid HS and PRP Method and its Inexact Version with Applications

We present a hybrid HS- and PRP-type conjugate gradient method for smooth optimization that converges globally and R-linearly for general functions. We also introduce its inexact version for problems of this kind in which gradients or values of the functions are unknown or difficult to compute. More...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Datum:2015
1. Verfasser: Zhou, W.
Format: Artikel
Sprache:English
Veröffentlicht: Інститут математики НАН України 2015
Schriftenreihe:Український математичний журнал
Schlagworte:
Online Zugang:http://dspace.nbuv.gov.ua/handle/123456789/165669
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Zitieren:A Globally and R-Linearly Convergent Hybrid HS and PRP Method and its Inexact Version with Applications / W. Zhou // Український математичний журнал. — 2015. — Т. 67, № 6. — С. 752–762. — Бібліогр.: 25 назв. — англ.

Institution

Digital Library of Periodicals of National Academy of Sciences of Ukraine