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
- P. Vinnarasi, K. Menaka, Advanced hybrid feature selection techniques for analyzing the relationship between 25-OHD and TSH , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- S. Vanaja, Hari Ganesh S, Application of data mining and machine learning approaches in the prediction of heart disease – A literature survey , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Arunachalaprabu G, Fathima Bibi K, A pattern-driven Huffman encoding and positional encoding for DNA compression , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- Archana Bansal, On the Biology of Chrysomya megacephala (Fabricius) (Diptera: Calliphoridae) , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- N. Suresh Kumar, S.N.Md. Assarudeen, Solving neutrosophic multi-objective linear fractional programming problem using central measures , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Olivia C. Gold, Jayasimman Lawrence, Enhanced LSTM for heart disease prediction in IoT-enabled smart healthcare systems , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Sruthy M.S, R. Suganya, An efficient key establishment for pervasive healthcare monitoring , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Avdhesh Kumar, Manoj Agarwal, Studies on challenges and opportunities for foreign direct investment in the automobile industry in India , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- R. Sakthiraman, L. Arockiam, RRFSE: RNN biased random forest and SVM ensemble for RPL DDoS in IoT-WSN environment , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- M. Balamurugan, A. Bharathiraja, An enhanced hybrid GCNN-MHA-GRU approach for symptom-to-medicine recommendation by utilizing textual analysis of customer reviews , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
<< < 13 14 15 16 17 18 19 20 21 22 > >>
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

