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<article article-type="research-article" dtd-version="1.3" 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" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">msi</journal-id><journal-title-group><journal-title xml:lang="ru">Современная наука и инновации</journal-title><trans-title-group xml:lang="en"><trans-title>Modern Science and Innovations</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2307-910X</issn><publisher><publisher-name>North-Caucasus Federal University</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">msi-539</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ТЕХНИЧЕСКИЕ НАУКИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ENGINEERING SCIENCES</subject></subj-group></article-categories><title-group><article-title>ГЕНЕРАЦИЯ ПСЕВДОСЛУЧАЙНЫХ ЧИСЕЛ</article-title><trans-title-group xml:lang="en"><trans-title>GENERATION OF PSEUDORANDOM NUMBERS</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Гладских</surname><given-names>Илья Юрьевич</given-names></name><name name-style="western" xml:lang="en"><surname>Gladkih</surname><given-names>Gladskih Yur’evich</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Тульский государственный педагогический университет им. Л.Н.Толстого</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Tula State Lev Tolstoy Pedagogical University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2018</year></pub-date><pub-date pub-type="epub"><day>11</day><month>10</month><year>2022</year></pub-date><volume>0</volume><issue>1</issue><fpage>22</fpage><lpage>26</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Гладских И.Ю., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Гладских И.Ю.</copyright-holder><copyright-holder xml:lang="en">Gladkih G.Y.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://msi.elpub.ru/jour/article/view/539">https://msi.elpub.ru/jour/article/view/539</self-uri><abstract><p>Статья посвящена алгоритмам генерации псевдослучайных чисел по определенным законам распределения случайных чисел. Освещены вопросы генерации псевдослучайных равномерно распределенных целых чисел большой величины и вещественных чисел, вещественных чисел в соответствии с законами экспоненциального и равномерного распределения.</p></abstract><trans-abstract xml:lang="en"><p>The article is devoted to algorithms for generating pseudorandom numbers according to certain laws of distribution of random numbers. The problems of generation of pseudorandom uniformly distributed integers of large size and real numbers, real numbers in accordance with the laws of exponential and uniform distribution.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>алгоритм</kwd><kwd>генерация псевдослучайных чисел</kwd><kwd>программирование</kwd><kwd>равномерное распределение</kwd><kwd>экспоненциальное распределение</kwd><kwd>algorithm</kwd><kwd>pseudorandom number generation</kwd><kwd>programming</kwd><kwd>uniform distribution</kwd><kwd>exponential distribution</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Gentle, Random Number Generation and Monte Carlo Methods / Gentle E. James. 2nd ed. , corr. Springer, 2005. 381 p.</mixed-citation><mixed-citation xml:lang="en">Gentle, Random Number Generation and Monte Carlo Methods / Gentle E. James. 2nd ed. , corr. 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