A Computational Study of Numerical Integration in Physics Applications Using Trapezoidal and Simpson's Methods
Kata Kunci:
Numerical Integration, Trapezodia Rule, Simpson's Rule, Physics Applications, Efficiency AnalysisAbstrak
This research conducts a comprehensive evaluation of the efficiency and accuracy of two widely-used numerical integration methods, the Trapezoidal Rule and Simpson's Rule, within the context of solving physics-related problems. The study focuses on four representative cases: the calculation of kinetic energy, the determination of electric field strength, the work done by an ideal gas, and the gravitational potential energy. The performance of these methods is analyzed through key metrics such as convergence behavior, error magnitude, and computational time. The findings reveal that Simpson's Rule consistently delivers higher accuracy compared to the Trapezoidal Rule, especially for functions exhibiting non-linear characteristics. This highlights Simpson's Rule as a preferred method for complex physical problems, while the Trapezoidal Rule remains effective for simpler cases requiring lower computational overhead.
Referensi
A. F Abdulhameed and Q A Memon 2021 J. Phys.: Conf. Ser. 2090 012104. doi : 10.1088/1742-6596/2090/1/012104.
Hüseyin Budak, Fatih Hezenci, Hasan Kara, & Mehmet Zeki Sarikaya. (2023). Bounds for the Error in Approximating a Fractional Integral by Simpson’s Rule. Mathematics, 11(10), 2282. https://doi.org/10.3390/math11102282
U. K. Qureshi, A. A. Shaikhi, F. K. Shaikh, S. K. Hazarewal, & T. A. Laghari. (2021). New Simpson type method for solving nonlinear equations. Open Journal of Mathematical Sciences, 5(1), 94. https://doi.org/10.30538/oms2021.0148
Hasanain J. Kareem, Mohammed A. Abdulwahid, & Hasril Hasini. (2023). Experimental investigation of holdup fraction using the trapezoidal rule, Simpson’s rule and the average offset formula in perforated horizontal wellbore. Results in Engineering, Vol 18, Iss , Pp 101131-. https://doi.org/10.1016/j.rineng.2023.101131
Waluyo, W., Kania, S., & HAMLAR, F. (2020). Comparative Computations on Supplied and Lost Energy utilizing Numerical Integrations. http://eprints.itenas.ac.id/2082/
Kong, Q., Siauw, T., & Bayen, A. (2020). Python Programming and Numerical Methods: A Guide for Engineers and Scientists (1st ed.). Elsevier. ISBN: 9780128195499.
Unduhan
Diterbitkan
Cara Mengutip
Terbitan
Bagian
Lisensi
Hak Cipta (c) 2024 Muhamad Agung Suhendra, Sufiyah Assegaf, Iqbal Robiyana, Nurizati Robiyana
Artikel ini berlisensi Creative Commons Attribution 4.0 International License.
Authors who publish with TIME in Physics (Journal for Theoretical, Instrumentation, Material-Molecular, and Education Physics) agree to the following terms: Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
This work is licensed under a Creative Commons Attribution 4.0 International License.