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.

Highlights

  • Numerical integration is the procedure of finding the approximate value of a definite integral

  • Newton-Cotes formulas which are known as quadrature formulas is a numerical integration technique that approximates a function at a sequence of regularly spaced intervals

  • Numerical methods are commonly used for solving mathematical problems that are applied in science and engineering where it is difficult or even impossible to obtain exact solutions

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Summary

Introduction

Numerical integration is the procedure of finding the approximate value of a definite integral. Md. Jashim Uddin et al presented the complete conception about numerical integration including Newton-Cotes formulas and compared the rate of performance or the rate of accuracy of Trapezoidal, Simpson’s 1/3, and Simpson’s 3/8 [7]. F. et al have investigated and compared the accuracy and convergence behavior of two different numerical approaches based on Differential Quadrature (DQ) and Integral Quadrature (IQ) methods, respectively, when applied to the free vibration analysis of laminated plates and shells [12]. Kwasi A. et al proposed a numerical integration method using polynomial interpolation that provides improved estimates as compared to the Newton-Cotes methods of integration [22]. We discussed the numerical approximate solutions based on Newton-cotes methods for solving the definite integral problems.

Numerical Evaluation Procedures
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Recommendations
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