A COMPARATIVE STUDY ON THE CONVERGENCE AND ACCURACY OF NUMERICAL INTEGRATION METHODS

A COMPARATIVE STUDY ON THE CONVERGENCE AND ACCURACY OF NUMERICAL INTEGRATION METHODS

Authors

  • Jumaboyev Asadbek Shokirjon ugli Faculty of Mathematics Tashkent Turin Polytechnic University

DOI:

https://doi.org/10.5281/zenodo.17447678

Keywords:

Numerical Integration, Quadrature, Simpson’s Rule, Trapezoidal Rule, Error Analysis, Rate of Convergence, Numerical Methods.

Abstract

This study investigates the accuracy of three fundamental numerical integration methods: the Rectangle Rule,
Trapezoidal Rule, and Simpson’s Rule. We approximate the defnite integral of a smooth function, f (x) = sin(x) + 1, over
a fxed interval. By analyzing the absolute error as the number of subintervals increases, we empirically demonstrate
the methods’ rates of convergence. The results clearly show that Simpson’s Rule, with its higher-order O(h) accuracy,
converges signifcantly faster than the O(h²) accuracy of the other two methods.



References

Richard L. Burden, J. Douglas Faires, and Annette M. Burden. Numerical Analysis, 10th ed. Cengage Learning, 2015.

James Stewart. Calculus: Early Transcendentals, 8th ed. Cengage Learning, 2015.

Ward Cheney and David Kincaid. Numerical Mathematics and Computing, 7th ed. Cen- gage Learning, 2012.

Philip J. Davis and Philip Rabinowitz. Methods of Numerical Integration, 2nd ed. Aca- demic Press, 1984.

Kendall E. Atkinson. An Introduction to Numerical Analysis, 2nd ed. John Wiley & Sons, 1989.

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Published

2025-08-01

How to Cite

Jumaboyev Asadbek Shokirjon ugli. (2025). A COMPARATIVE STUDY ON THE CONVERGENCE AND ACCURACY OF NUMERICAL INTEGRATION METHODS. Innovation Science and Technology, 1(8), 31–33. https://doi.org/10.5281/zenodo.17447678
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