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Special Issues Volume 9, Issue 3, June 2020, Page: 46-54
A New Analysis of Approximate Solutions for Numerical Integration Problems with Quadrature-based Methods
Mir Md. Moheuddin, Department of CSE (Mathematics), Atish Dipankar University of Science and Technology (ADUST), Dhaka, Bangladesh
Muhammad Abdus Sattar Titu, Department of Mathematics (General Science), Mymensingh Engineering College (MEC), Mymensingh, Bangladesh
Received: May 4, 2020;       Accepted: Jun. 9, 2020;       Published: Jun. 20, 2020
Abstract
In this paper, we mainly propose the approximate solutions to solve the integration problems numerically using the quadrature method including the Trapezoidal method, Simpson’s 1/3 method, and Simpson’s 3/8 method. The three proposed methods are quite workable and practically well suitable for solving integration problems. Through the MATLAB program, our numerical solutions are determined as well as compared with the exact values to verify the higher accuracy of the proposed methods. Some numerical examples have been utilized to give the accuracy rate and simple implementation of our methods. In this study, we have compared the performance of our solutions and the computational attempt of our proposed methods. Moreover, we explore and calculate the errors of the three proposed methods for the sake of showing our approximate solution’s superiority. Then, among these three methods, we analyzed the approximate errors to prove which method shows more appropriate results. We also demonstrated the approximate results and observed errors to give clear idea graphically. Therefore, from the analysis, we can point out that only the minimum error is in Simpson’s 1/3 method which will beneficial for the readers to understand the effectiveness in solving the several numerical integration problems.
Keywords
Numerical Integration, Trapezoidal Method, Simpson’s One-Third Method, Simpson’s Three-eighth’s Method
Mir Md. Moheuddin, Muhammad Abdus Sattar Titu, Saddam Hossain, A New Analysis of Approximate Solutions for Numerical Integration Problems with Quadrature-based Methods, Pure and Applied Mathematics Journal. Vol. 9, No. 3, 2020, pp. 46-54. doi: 10.11648/j.pamj.20200903.11
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