A nonmonotone scaled conjugate gradient algorithm for large-scale unconstrained optimization

This paper proposes a nonmonotone scaled conjugate gradient algorithm for solving large-scale unconstrained optimization problems, which combines the idea of scaled memoryless Broyden-Fletcher-Goldfarb-Shanno preconditioned conjugate gradient method with the nonmonotone technique. An attractive prop...

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Vydané v:	International journal of computer mathematics Ročník 95; číslo 11; s. 2212 - 2228
Hlavní autori:	Ou, Yigui, Zhou, Xin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Abingdon Taylor & Francis 02.11.2018 Taylor & Francis Ltd
Predmet:	Algorithms Conjugate gradient method Conjugates Convergence convergence analysis Iterative methods nonmonotone line search numerical comparisons Optimization Queuing theory scaled conjugate gradient algorithm Unconstrained optimization
ISSN:	0020-7160, 1029-0265
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