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
- Manpreet Kaur, Shweta Mishra, A smart grid data privacy-preserving aggregation approach with authentication , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- N. Ruba, A. S. A. Khadir, Session password Blum–Goldwasser cryptography based user three layer authentication for secured financial transaction , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- S. Hemalatha, N. Vanjulavalli, K. Sujith, R. Surendiran, Effective gorilla troops optimization-based hierarchical clustering with HOP field neural network for intrusion detection , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Leyla A.A Abu-Hussein, The role of food program to overcome obesity, overweight, and underweight among autistic children , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- G. Deena, K. Raja, M. Azhagiri, W.A. Breen, S. Prema, Application of support vector classifier for mango leaf disease classification , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Nilesh M. Patil, P M. Krishna, G. Deena, C Harini, R.K. Gnanamurthy, Romala V. Srinivas, Exploring real-time patient monitoring and data analytics with IoT-based smart healthcare monitoring , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Maya Kumari, Vikas Y Patade, Z Ahmad, TRANSGENIC APPROACH TOWARDS DEVELOPMENT OF COLD STRESS TOLERANT VEGETABLES FOR HIGH ALTITUDE AREAS , The Scientific Temper: Vol. 1 No. 01 (2010): The Scientific Temper
- Sabeerath K, Manikandasaran S. Sundaram, BTEDD: Block-level tokens for efficient data deduplication in public cloud infrastructures , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Jhankar Moolchandani, Kulvinder Singh, English language analysis using pattern recognition and machine learning , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- J. M. Aslam, K. M. Kumar, Enhancing security of cloud using static IP techniques , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
<< < 1 2 3 4 5 6 7 8 9 10 > >>
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