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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Discrete and Continuous Models and Applied Computational Science</journal-id><journal-title-group><journal-title xml:lang="en">Discrete and Continuous Models and Applied Computational Science</journal-title><trans-title-group xml:lang="ru"><trans-title>Discrete and Continuous Models and Applied Computational Science</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2658-4670</issn><issn publication-format="electronic">2658-7149</issn><publisher><publisher-name xml:lang="en">Peoples' Friendship University of Russia named after Patrice Lumumba (RUDN University)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">35917</article-id><article-id pub-id-type="doi">10.22363/2658-4670-2023-31-3-205-217</article-id><article-id pub-id-type="edn">LACMZU</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Articles</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Статьи</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Asymptotic diffusion analysis of the retrial queuing system with feedback and batch Poisson arrival</article-title><trans-title-group xml:lang="ru"><trans-title>Асимптотически диффузионный анализ RQ-системы с обратными связями и неординарным входящим потоком</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5097-5629</contrib-id><name-alternatives><name xml:lang="en"><surname>Nazarov</surname><given-names>Anatoly A.</given-names></name><name xml:lang="ru"><surname>Назаров</surname><given-names>А. А.</given-names></name></name-alternatives><bio xml:lang="en"><p>Doctor of Technical Sciences, Professor of Department of Probability Theory and Mathematical Statistics, Institute of Applied Mathematics and Computer Science</p></bio><email>nazarov.tsu@gmail.com</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8888-9291</contrib-id><name-alternatives><name xml:lang="en"><surname>Rozhkova</surname><given-names>Svetlana V.</given-names></name><name xml:lang="ru"><surname>Рожкова</surname><given-names>С. В.</given-names></name></name-alternatives><bio xml:lang="en"><p>Doctor of Physical and Mathematical Sciences, Professor of Department of Mathematics and Computer Science, School of Core Engineering Education, National Research Tomsk Polytechnic University, professor of Department of Probability Theory and Mathematical Statistics, Institute of Applied Mathematics and Computer Science, National Research Tomsk State University</p></bio><email>rozhkova@tpu.ru</email><xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0478-8232</contrib-id><name-alternatives><name xml:lang="en"><surname>Titarenko</surname><given-names>Ekaterina Yu.</given-names></name><name xml:lang="ru"><surname>Титаренко</surname><given-names>Е. Ю.</given-names></name></name-alternatives><bio xml:lang="en"><p>Lecturer of Mathematics and Computer Science, School of Core Engineering Education</p></bio><email>teu@tpu.ru</email><xref ref-type="aff" rid="aff2"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">National Research Tomsk State University</institution></aff><aff><institution xml:lang="ru">Томский государственный университет</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">National Research Tomsk Polytechnic University</institution></aff><aff><institution xml:lang="ru">Томский политехнический университет</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2023-09-12" publication-format="electronic"><day>12</day><month>09</month><year>2023</year></pub-date><volume>31</volume><issue>3</issue><issue-title xml:lang="en">VOL 31, NO3 (2023)</issue-title><issue-title xml:lang="ru">ТОМ 31, №3 (2023)</issue-title><fpage>205</fpage><lpage>217</lpage><history><date date-type="received" iso-8601-date="2023-09-12"><day>12</day><month>09</month><year>2023</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2023, Nazarov A.A., Rozhkova S.V., Titarenko E.Y.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2023, Назаров А.А., Рожкова С.В., Титаренко Е.Ю.</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="en">Nazarov A.A., Rozhkova S.V., Titarenko E.Y.</copyright-holder><copyright-holder xml:lang="ru">Назаров А.А., Рожкова С.В., Титаренко Е.Ю.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by-nc/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.rudn.ru/miph/article/view/35917">https://journals.rudn.ru/miph/article/view/35917</self-uri><abstract xml:lang="en"><p style="text-align: justify;">The mathematical model of the retrial queuing system <span class="math inline">\(M^{[n]}/M/1\)</span> with feedback and batch Poisson arrival is constructed. Customers arrive in groups. If the server is free, one of the arriving customers starts his service, the rest join the orbit. The retrial and service times are exponentially distributed. The customer whose service is completed leaves the system, or reservice, or goes to the orbit. The method of asymptotic diffusion analysis is proposed for finding the probability distribution of the number of customers in orbit. The asymptotic condition is growing average waiting time in orbit. The accuracy of the diffusion approximation is obtained.</p></abstract><trans-abstract xml:lang="ru"><p style="text-align: justify;">В работе исследована <span class="math inline">\(M^{[n]}/M/1\)</span> RQ-система с неординарным пуассоновским входящим потоком. Заявки на вход системы поступают группами. В каждый момент времени обслуживается не более одной заявки, остальные попадают на орбиту. Заявка, обслуживание которой завершено, либо покидает систему, либо повторно поступает на обслуживание, либо переходит на орбиту. Методом асимптотически диффузионного анализа при асимптотическом условии растущего среднего времени ожидания на орбите построена аппроксимация распределения вероятностей числа заявок на орбите. Показано, что точность диффузионной аппроксимации превышает точность гауссовской аппроксимации.</p></trans-abstract><kwd-group xml:lang="en"><kwd>retrial queuing system</kwd><kwd>batch arrival</kwd><kwd>feedback</kwd><kwd>asymptotic diffusion analysis</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>система массового обслуживания</kwd><kwd>RQ-система</kwd><kwd>неординарный поток</kwd><kwd>обратная связь</kwd><kwd>асимптотически-диффузионный анализ</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>T. 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