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The new spectral conjugate gradient method for large-scale unconstrained optimisation

Abstract The spectral conjugate gradient methods are very interesting and have been proved to be effective for strictly convex quadratic minimisation. In this paper, a new spectral conjugate gradient method is proposed to solve large-scale unconstrained optimisation problems. Motivated by the advant...

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Главные авторы: Li Wang, Mingyuan Cao, Funa Xing, Yueting Yang
Формат: Artigo
Язык:Inglês
Опубликовано: SpringerOpen 2020-04-01
Серии:Journal of Inequalities and Applications
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Online-ссылка:http://link.springer.com/article/10.1186/s13660-020-02375-z
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