Comparing alternative methods for improving the bisection techniques: modified bracketing method and Regula Falsi Algorithm / Nurul Ain Syafika Juperi, Nur Yasmin Hanani Mahdiber and Amylia Natasha Khairul Nizam

Juperi, Nurul Ain Syafika and Mahdiber, Nur Yasmin Hanani and Khairul Nizam, Amylia Natasha (2023) Comparing alternative methods for improving the bisection techniques: modified bracketing method and Regula Falsi Algorithm / Nurul Ain Syafika Juperi, Nur Yasmin Hanani Mahdiber and Amylia Natasha Khairul Nizam. [Student Project] (Unpublished)

Abstract

This study was performed to compare alternative methods for improving the Bisection techniques which are Modified Bracketing Method and Regula Falsi Algorithm. The Bisection method's calculation is quite long and can take a huge amount of time. Besides, it is almost certain that multiple iterations are required to achieve the desired accuracy. This research shows how it is being compared with other methods such as the Modified Bracketing Method and the Regula Falsi Algorithm to analyze which one is the easiest method to implement as well as having the fewest iterations to get close to the root or accuracy. Therefore, the objectives of this study are to apply the Bisection Method, the Modified Bracketing Method and the Regula Falsi Algorithm in solving the various types of nonlinear functions. Next, to identify which algorithm is the most efficient in root-finding by comparing the iteration number among the three methods. Then, some selected test functions are applied into the Bisection Method, Modified Bracketing Method and Regula Falsi Algorithm to decide which is the most practical method. It is observed from the results and comparison of the three methods including Bisection Method, Modified Bracketing Method and Regula Falsi Algorithm that the modification of Bisection method is performing better. Thus, the significance of the result is to identify which approach requires the fewest iterations and takes the least amount of time.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Juperi, Nurul Ain Syafika
UNSPECIFIED
Mahdiber, Nur Yasmin Hanani
UNSPECIFIED
Khairul Nizam, Amylia Natasha
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Mathematical statistics. Probabilities
Divisions: Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus
Programme: Bachelor of Science (Hons.) (Mathematics)
Keywords: bisection method, least number of iterations, roots finding, practical method
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/82648
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