A New Analysis of Approximate Solutions for Numerical Integration Problems with Quadrature-based Methods

IF 0.2 Q4 MATHEMATICS
Mir Md. Moheuddin, Muhammad Abdus Sattar Titu, Saddam Hossain
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引用次数: 0

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.
数值积分问题近似解的一种新分析方法
本文主要提出了用正交法求解积分问题的近似解,包括梯形法、辛普森1/3法和辛普森3/8法。所提出的三种方法均具有较强的可操作性和实用性,适用于求解积分问题。通过MATLAB程序,确定了我们的数值解,并与精确值进行了比较,验证了所提方法具有较高的精度。一些数值算例说明了我们的方法的准确率和简单实现。在这项研究中,我们比较了我们的解决方案的性能和我们提出的方法的计算尝试。此外,我们还对这三种方法的误差进行了探讨和计算,以显示我们的近似解的优越性。然后,在这三种方法中,我们分析了近似误差,以证明哪种方法的结果更合适。我们还演示了近似结果和观察到的误差,以图形形式给出清晰的概念。因此,从分析中我们可以指出,Simpson的1/3方法只有最小的误差,这有利于读者了解在解决几个数值积分问题时的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
2
期刊介绍: The “Italian Journal of Pure and Applied Mathematics” publishes original research works containing significant results in the field of pure and applied mathematics.
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