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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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Auteurs principaux: Li Wang, Mingyuan Cao, Funa Xing, Yueting Yang
Format: Artigo
Langue:Inglês
Publié: SpringerOpen 2020-04-01
Collection:Journal of Inequalities and Applications
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Accès en ligne:http://link.springer.com/article/10.1186/s13660-020-02375-z
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