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eNauka >  Rezultati >  A stochastic first-order trust-region method with inexact restoration for finite-sum minimization
Naziv: A stochastic first-order trust-region method with inexact restoration for finite-sum minimization
Autori: Bellavia Stefania; Krejić Nataša  ; Morini Benedetta; Rebegoldi Simone
Godina: 2022
Publikacija: Computational Optimization and Applications
ISSN: 0926-6003 Computational Optimization and Applications Pretraži identifikator
Tip rezultata: Naučni članak
Kolacija: vol. 84 br. 1 str. 53-84
DOI: 10.1007/s10589-022-00430-7
WoS-ID: 000878473200001
Scopus-ID: 2-s2.0-85141172272
URI: https://www.cris.uns.ac.rs/record.jsf?recordId=127209&source=eNauka&language=en
https://enauka.gov.rs/handle/123456789/596726
Projekat: Universita degli Studi di Firenze within the CRUI-CARE Agreement
GNCS of INdAM and partially developed within the Mobility Project: "Second order methods for optimization problems in Machine Learning" [RS19MO05]
Serbian Ministry of Education, Science and Technological Development [451-03-9/2021-14/200125]
M-kategorija: 
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