Modern stochastic quasi-gradient optimization algorithms

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Bibliographic Details
Date:2024
Main Authors: V. I. Norkin, A. Y. Kozyriev, B. V. Norkin
Format: Article
Language:English
Published: 2024
Series:International Scientific Technical Journal «Problems of Control and Informatics»
Online Access:http://jnas.nbuv.gov.ua/article/UJRN-0001483144
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Journal Title:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
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author V. I. Norkin
A. Y. Kozyriev
B. V. Norkin
author_facet V. I. Norkin
A. Y. Kozyriev
B. V. Norkin
author_sort V. I. Norkin
collection Open-Science
first_indexed 2025-07-22T19:16:40Z
format Article
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institution Library portal of National Academy of Sciences of Ukraine | LibNAS
language English
last_indexed 2025-07-22T19:16:40Z
publishDate 2024
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series International Scientific Technical Journal «Problems of Control and Informatics»
spelling open-sciencenbuvgovua-1138082024-12-23T18:51:56Z Modern stochastic quasi-gradient optimization algorithms V. I. Norkin A. Y. Kozyriev B. V. Norkin 2786-6491 2024 en International Scientific Technical Journal «Problems of Control and Informatics» http://jnas.nbuv.gov.ua/article/UJRN-0001483144 Article
spellingShingle International Scientific Technical Journal «Problems of Control and Informatics»
V. I. Norkin
A. Y. Kozyriev
B. V. Norkin
Modern stochastic quasi-gradient optimization algorithms
title Modern stochastic quasi-gradient optimization algorithms
title_full Modern stochastic quasi-gradient optimization algorithms
title_fullStr Modern stochastic quasi-gradient optimization algorithms
title_full_unstemmed Modern stochastic quasi-gradient optimization algorithms
title_short Modern stochastic quasi-gradient optimization algorithms
title_sort modern stochastic quasi-gradient optimization algorithms
url http://jnas.nbuv.gov.ua/article/UJRN-0001483144
work_keys_str_mv AT vinorkin modernstochasticquasigradientoptimizationalgorithms
AT aykozyriev modernstochasticquasigradientoptimizationalgorithms
AT bvnorkin modernstochasticquasigradientoptimizationalgorithms