COMPARISON OF METHODS OF CONSTRUCTION OF APPROXIMATE ANALYTICAL SOLUTIONS OF DIFFERENTIAL EQUATIONS CONSIDERING ON THE EXAMPLE OF ELEMENTARY FUNCTIONS

Abstract

Compares methods of constructing multilayer approximate solutions of differential equations based on classical approximate methods on the example of the exponent and cosine. In contrast to classical numerical methods, this approach allows to obtain not point wise approximation, and approximate solutions as functions. Considered approach, based on explicit and implicit Euler methods, one-step Adams method, Runge-Kutta second-order method, and Stermer method. A comparison of the accuracy of the formula obtained using the method of Adams for exhibitors and Stermer method for the cosine partial sum of the McLaren series. The comparison carried out with the same number of completed operations of addition/subtraction and multiplication/division and the same degree of decomposition. Computational experiments showed the advantage of the proposed formulas. The proposed methods are tested on the search task period of the solution of a differential equation.

Author Biographies

Александр Евгеньевич Картавченко, Peter the Great St. Petersburg Polytechnic University

Student of Applied Mathematics and Informatics Faculty

Дмитрий Альбертович Тархов, Peter the Great St. Petersburg Polytechnic University

Doctor of Engineering Sciences, Professor of Higher Mathematic Faculty

References

1. T. Lazovskaya, D. Tarkhov. Multilayer neural network models based on grid methods, IOP Conf. Series: Materials Science and Engineering 158 (2016) http://iopscience.iop.org/article/10.1088/1757-899X/158/1/01206
2. Alexander Vasilyev, Dmitry Tarkhov, Ivan Bolgov, Tatyana Kaverzneva, Svetlana Kolesova, Tatyana Lazovskaya, Evgeniy Lukinskiy, Alexey Petrov, Vladimir Filkin MULTILAYER NEURAL NETWORK MODELs BASED ON EXPERIMENTAL DATA FOR PROCESSES OF SAMPLE DEFORMATION AND DESTRUCTION// Selected Papers of the First International Scientific Conference Convergent Cognitive Information Technologies (Convergent 2016) Moscow, Russia, November 25-26, 2016 р.6-14 http://ceur-ws.org/Vol-1763/paper01.pdf
3. Dmitry Tarkhov, Ekaterina Shershneva APPROXIMATE ANALYTICAL SOLUTIONS OF MATHIEU’S EQUATIONS BASED ON CLASSICAL NUMERICAL METHODS// Selected Papers of the XI International Scientific-Practical Conference Modern Information Technologies and IT-Education (SITITO 2016) Moscow, Russia, November 25-26, 2016 р.356-362 http://ceur-ws.org/Vol-1761/paper46.pdf
4. Alexander Vasilyev, Dmitry Tarkhov, Tatyana Shemyakina APPROXIMATE ANALYTICAL SOLUTIONS OF ORDINARY DIFFERENTIAL EQUATIONS// Selected Papers of the XI International Scientific-Practical Conference Modern Information Technologies and IT-Education (SITITO 2016) Moscow, Russia, November 25-26, 2016 р.393-400 http://ceur-ws.org/Vol-1761/paper50.pdf
5. Verzhbickij V.M. Chislennye metody. Matematicheskij analiz i obyknovennye differencial'nye uravnenija. – M.: Oniks 21 vek, 2005. – 400s.
Published
2017-10-01
How to Cite
КАРТАВЧЕНКО, Александр Евгеньевич; ТАРХОВ, Дмитрий Альбертович. COMPARISON OF METHODS OF CONSTRUCTION OF APPROXIMATE ANALYTICAL SOLUTIONS OF DIFFERENTIAL EQUATIONS CONSIDERING ON THE EXAMPLE OF ELEMENTARY FUNCTIONS. Modern Information Technologies and IT-Education, [S.l.], v. 13, n. 3, p. 16-23, oct. 2017. ISSN 2411-1473. Available at: <http://sitito.cs.msu.ru/index.php/SITITO/article/view/250>. Date accessed: 16 sep. 2025. doi: https://doi.org/10.25559/SITITO.2017.3.440.
Section
Theoretical Questions of Computer Science, Computer Mathematics

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