Numerical modelling of double integration with different data spacing: A Python-based approach

In this article, an attempt has been made to model the process of double integration for different data spacing. The trapezoidal rule has been used to perform integration, whereas Newton's divided difference handles the inconsistent data points. The whole process of numerical integration has be...

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Bibliographic Details
Published in:Mathematics and computational sciences Vol. 4; no. 2; pp. 46 - 54
Main Authors: Priyanshi Mishra, Pramiti Tewari, Dhananjay Mishra, Pankaj Dumka
Format: Journal Article
Language:English
Published: Qom University of Technology 01.06.2023
Subjects:
double integration
numerical double integration
numerical integration
python programming
trapezoidal method of integration
ISSN:2717-2708
Online Access:Get full text
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Summary:In this article, an attempt has been made to model the process of double integration for different data spacing. The trapezoidal rule has been used to perform integration, whereas Newton's divided difference handles the inconsistent data points. The whole process of numerical integration has been automated in Python programming language. The developed code is tested against two example problems, and the results obtained agree with the one shown in the literature.
ISSN:2717-2708
DOI:10.30511/mcs.2023.1990951.1115