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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">35919</article-id><article-id pub-id-type="doi">10.22363/2658-4670-2023-31-3-228-241</article-id><article-id pub-id-type="edn">KNQAEY</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">On a stable calculation of the normal to a surface given approximately</article-title><trans-title-group xml:lang="ru"><trans-title>Об устойчивом вычислении нормали к поверхности, заданной приближённо</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4255-9393</contrib-id><name-alternatives><name xml:lang="en"><surname>Laneev</surname><given-names>Evgeniy B.</given-names></name><name xml:lang="ru"><surname>Ланеев</surname><given-names>Е. Б.</given-names></name></name-alternatives><bio xml:lang="en"><p>Doctor of Physical and Mathematical Sciences, professor of Mathematical Department</p></bio><email>elaneev@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4813-7981</contrib-id><name-alternatives><name xml:lang="en"><surname>Baaj</surname><given-names>Obaida</given-names></name><name xml:lang="ru"><surname>Бааж</surname><given-names>Обаида</given-names></name></name-alternatives><bio xml:lang="en"><p>Post-Graduate Student of Mathematical Department</p></bio><email>1042175025@rudn.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Peoples’ Friendship University of Russia (RUDN University)</institution></aff><aff><institution xml:lang="ru">Российский университет дружбы народов</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>228</fpage><lpage>241</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, Laneev E.B., Baaj O.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2023, Ланеев Е.Б., Бааж О.</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="en">Laneev E.B., Baaj O.</copyright-holder><copyright-holder xml:lang="ru">Ланеев Е.Б., Бааж О.</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/35919">https://journals.rudn.ru/miph/article/view/35919</self-uri><abstract xml:lang="en"><p style="text-align: justify;">The paper proposes a stable method for constructing a normal to a surface given approximately. The normal is calculated as the gradient of the function in the surface equation. As is known, the problem of calculating the derivative is ill-posed. In the paper, an approach is adopted to solving this problem as to the problem of calculating the values of an unbounded operator. To construct its stable solution, the principle of minimum of the smoothing functional in Morozov’s formulation is used. The normal is obtained in the form of a Fourier series in the expansion in terms of eigenfunctions of the Laplace operator in a rectangle with boundary conditions of the second kind. The functional stabilizer uses the Laplacian, which makes it possible to obtain a normal in the form of a Fourier series that converges uniformly to the exact normal vector as the error in the surface definition tends to zero. The resulting approximate normal vector can be used to solve various problems of mathematical physics using surface integrals, normal derivatives, simple and double layer potentials.</p></abstract><trans-abstract xml:lang="ru"><p style="text-align: justify;">В работе предлагается устойчивый метод построения нормали к поверхности, заданной приближённо. Нормаль вычисляется как градиент функции в уравнении поверхности. Как известно, задача вычисления производной является некорректно поставленной. В работе принят подход к решению этой задачи как к задаче вычисления значений неограниченного оператора. Для построения её устойчивого решения используется принцип минимума сглаживающего функционала в формулировке Морозова. Нормаль получена в виде ряда Фурье в разложении по собственным функциям оператора Лапласа в прямоугольнике с краевыми условиями второго рода. В стабилизаторе функционала используется лапласиан, что позволяет получить нормаль в виде ряда Фурье, равномерно сходящегося к точному вектору нормали при стремлении к нулю погрешности в задании поверхности. Полученный приближенный вектор нормали может использоваться при решении различных задач математической физики, использующих поверхностные интегралы, нормальные производные, потенциалы простого и двойного слоя.</p></trans-abstract><kwd-group xml:lang="en"><kwd>ill-posed problem</kwd><kwd>stable derivative calculation</kwd><kwd>regularization method</kwd><kwd>discrete Fourier series</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>некорректная задача</kwd><kwd>устойчивое вычисление производной</kwd><kwd>метод регуляризации</kwd><kwd>дискретный ряд Фурье</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>A. N. Tikhonov and V. J. 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