Программная оптимизация выбора типа функции для аппроксимации экспериментальных данных.

Keywords: least squares method, Matlab, approximation, subroutine-function, module


The article proposes a program by means Matlab language for the optimal choice of the approximating function in the process of processing experimental data. The program consists of the main and nine auxiliary modules, each of which implements a separate part of the general algorithm for solving the problem of selection and calculation of the approximating function parameters.


P.Pekh, O.Kuzmych, N.Zdolbitska, N.Bahniuk, I.Pasternak. Generators of Some Kinds Random Erlang Numbers and Estimation of Their Complexity // IEEExplore Digital Library (Scopus), Published in: 2020 10th International Conference on Advanced Computer Information Technologies (ACIT). DOI: 10.1109/ACIT49673.2020.9208831, ISBN: 978-1-7281-6760-2. https://ieeexplore.ieee.org/document/9208831

Björck, Åke . Numerical methods for least squares problems. Philadelphia: SIAM, 1996. ISBN 0-89871-360-9.Greene, William H. Econometric analysis (5th ed.). New Jersey: Prentice Hall, 2002

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How to Cite
Pekh , P., Hrystynets , N., & Diachenko , R. (2022). Программная оптимизация выбора типа функции для аппроксимации экспериментальных данных . COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (46), 70-74. https://doi.org/10.36910/6775-2524-0560-2022-46-10
Computer science and computer engineering