A modified PRP-type conjugate gradient algorithm with complexity analysis and its application to image restoration problems

In this paper, a modified conjugate gradient method is proposed for nonconvex optimization. This method possesses the sufficient descent property independent of any line search. The global convergence property of the algorithm is established under the Wolfe line search strategy or the Armijo line se...

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Veröffentlicht in:	Journal of computational and applied mathematics Jg. 427; S. 115105
Hauptverfasser:	Chen, Yu, Kuang, Kai, Yan, Xueling
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2023
Schlagworte:	Complexity analysis Global convergence Nonconvex unconstrained optimization Sufficient descent condition Sufficient descent condition Global convergence Complexity analysis 49J52 90C33 Nonconvex unconstrained optimization
ISSN:	0377-0427
Online-Zugang:	Volltext
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