Exact Constants of the Best One Sided Approximations of the Sum Analytic Functions from Different Classes

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Бібліографічні деталі
Дата:2022
Автори: V. A. Sorych, N. M. Sorych
Формат: Стаття
Мова:Англійська
Опубліковано: 2022
Назва видання:Mathematical and computer modelling. Series: Physical and mathematical sciences
Онлайн доступ:http://jnas.nbuv.gov.ua/article/UJRN-0001384377
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Назва журналу: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. A. Sorych
N. M. Sorych
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N. M. Sorych
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spelling open-sciencenbuvgovua-32292023-09-12T18:01:44Z Exact Constants of the Best One Sided Approximations of the Sum Analytic Functions from Different Classes V. A. Sorych N. M. Sorych 2308-5878 2022 en Mathematical and computer modelling. Series: Physical and mathematical sciences http://jnas.nbuv.gov.ua/article/UJRN-0001384377 Article
spellingShingle Mathematical and computer modelling. Series: Physical and mathematical sciences
V. A. Sorych
N. M. Sorych
Exact Constants of the Best One Sided Approximations of the Sum Analytic Functions from Different Classes
title Exact Constants of the Best One Sided Approximations of the Sum Analytic Functions from Different Classes
title_full Exact Constants of the Best One Sided Approximations of the Sum Analytic Functions from Different Classes
title_fullStr Exact Constants of the Best One Sided Approximations of the Sum Analytic Functions from Different Classes
title_full_unstemmed Exact Constants of the Best One Sided Approximations of the Sum Analytic Functions from Different Classes
title_short Exact Constants of the Best One Sided Approximations of the Sum Analytic Functions from Different Classes
title_sort exact constants of the best one sided approximations of the sum analytic functions from different classes
url http://jnas.nbuv.gov.ua/article/UJRN-0001384377
work_keys_str_mv AT vasorych exactconstantsofthebestonesidedapproximationsofthesumanalyticfunctionsfromdifferentclasses
AT nmsorych exactconstantsofthebestonesidedapproximationsofthesumanalyticfunctionsfromdifferentclasses