Title of article
Numerical modelling of double integration with different data spacing: A Python-based approach
Author/Authors
Mishra ، Priyanshi Department of Computer Science Engineering - Jaypee University of Engineering and Technology , Tewari ، Pramiti Department of Computer Science Engineering - Jaypee University of Engineering and Technology , Mishra ، Dhananjay R. Department of Mechanical Engineering - Jaypee University of Engineering and Technology , Dumka ، Pankaj Department of Mechanical Engineering - Jaypee University of Engineering and Technology
From page
46
To page
54
Abstract
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.
Keywords
Numerical double integration , Trapezoidal method of integration , Numerical integration , Python programming , Double integration
Journal title
Mathematics and Computational Sciences
Journal title
Mathematics and Computational Sciences
Record number
2751111
Link To Document