Convergence of Bisection Method
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2022.13.2.14Keywords:
Bisection method, convergence, stopping tolerance, error, percentage error, computer program, iterations.Dimensions Badge
Issue
Section
License
Copyright (c) 2022 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Fourth roots of the natural numbers from 1 to 30 have been calculated by Bisection method in the interval [0, 3] using stopping tolerance 0f 0.00001. Calculated roots have been compared with the actual values of roots to obtain error and percentage error in the calculated roots. Numerical rate of convergence has also been calculated in the determination of each fourthroot. The highest numerical rate of convergence of Bisection method has been observed in the calculation of fourth root of 2 and is equal to 1.754385964912. The lowest numerical rate of convergence of Bisection method has been observed in the calculation of fourth roots of 1, 3, -8, 10, 12 and is equal to 1.333333333333. Average error, average percentage error and average numerical rate of convergence of Bisection method have been found to be 0.000000062635, 0.000003048055 and 1.458082183940 respectivelyAbstract
How to Cite
Downloads
Similar Articles
- C. S. Manikandababu, V. Rukkumani, Advanced VLSI-based digital image contrast enhancement: A novel approach with modified image pixel evaluation logic , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Amalraj . P, Vinodkumar P. B., Existence of a homeomorphism from the space of continuous functions to the space of compact Subsets of a topological space, X , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Rupesh Mandal, Bobby Sharma, Dibyajyoti Chutia , Smart flood monitoring in Guwahati city: A LoRa-based AIoT and edge computing sensor framework , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- M. Monika, J. Merline Vinotha, Optimization of a Lean Vendor–Buyer Supply Chain Model under Neutrosophic Fuzzy Environment with Transportation, Loading, and Unloading Considerations , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- Veena Pande, Manish Pande, MOLECULAR DIVERSITY OF ECTOMYCORRHIZAL FUNGI OF CENTRAL HIMALAYA OF INDIA: AN IMPORTANT COMPONENT OF FOREST ECOSYSTEM , The Scientific Temper: Vol. 1 No. 01 (2010): The Scientific Temper
- M. Iniyan, A. Banumathi, The WBANs: Steps towards a comprehensive analysis of wireless body area networks , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- S. Bhuvaneswari, A. Nisha Jebaseeli, Multi-model telecom churn prediction , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- A. R. Jasmine Begum, M. Parveen, S. Latha, IoT based home automation with energy management , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- C. Muruganandam, V. Maniraj, A Self-driven dual reinforcement model with meta heuristic framework to conquer the iot based clustering to enhance agriculture production , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Aruljothi Rajasekaran, Jemima Priyadarsini R., ECDS: Enhanced Cloud Data Security Technique to Protect Data Being Stored in Cloud Infrastructure , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
<< < 15 16 17 18 19 20 21 22 23 24 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Lavkush Pandey, Trilokinath, Convergence of the Method of False Position , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper

