Variants of the A-HPE and large-step A-HPE algorithms for strongly convex problems with applications to accelerated high-order tensor methods

For solving strongly convex optimization problems, we propose and study the global convergence of variants of the accelerated hybrid proximal extragradient (A-HPE) and large-step A-HPE algorithms of R.D.C. Monteiro and B.F. Svaiter [An accelerated hybrid proximal extragradient method for convex opti...

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Veröffentlicht in:	Optimization methods & software Jg. 37; H. 6; S. 2007 - 2037
1. Verfasser:	Marques Alves, M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Abingdon Taylor & Francis 02.11.2022 Taylor & Francis Ltd
Schlagworte:	accelerated methods Algorithms Computational geometry Convergence Convex optimization Convexity high-order tensor methods large-step Mathematical analysis Optimization proximal-Newton method proximal-point algorithm strongly convex superlinear convergence Tensors
ISSN:	1055-6788, 1029-4937
Online-Zugang:	Volltext
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