Adaptive cubic regularization methods with dynamic inexact Hessian information and applications to finite-sum minimization
Author:
Affiliation:
1. Dipartimento di Ingegneria Industriale, Università di Firenze, viale G.B. Morgagni 40, 50134 Firenze, Italia
2. Dipartimento di Matematica e Informatica ‘Ulisse Dini’, Università di Firenze, viale G.B. Morgagni 67a, 50134 Firenze, Italia
Abstract
Funder
INdAM-GNCS
Publisher
Oxford University Press (OUP)
Subject
Applied Mathematics,Computational Mathematics,General Mathematics
Link
http://academic.oup.com/imajna/article-pdf/41/1/764/35971449/drz076.pdf
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3. Subsampled inexact Newton methods for minimizing large sums of convex functions;Bellavia;IMA J. Numer. Anal,2018
4. Inexact restoration with subsampled trust-region methods for finite-sum minimization;Bellavia
5. An investigation of Newton-sketch and subsampled Newton methods;Berahas,2017
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