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...
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Datum: | 2015 |
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Format: | Artikel |
Sprache: | English |
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Інститут математики НАН України
2015
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Schriftenreihe: | Український математичний журнал |
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Online Zugang: | http://dspace.nbuv.gov.ua/handle/123456789/165669 |
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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. |
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