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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| Vydané v: | Mathematics and computational sciences Ročník 4; číslo 2; s. 46 - 54 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Qom University of Technology
01.06.2023
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| ISSN: | 2717-2708 |
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| 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. |
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| AbstractList | 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. |
| Author | Pramiti Tewari Pankaj Dumka Priyanshi Mishra Dhananjay Mishra |
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| Snippet | 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... |
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| SubjectTerms | double integration numerical double integration numerical integration python programming trapezoidal method of integration |
| Title | Numerical modelling of double integration with different data spacing: A Python-based approach |
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