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
- Krishna P. Kalyanathaya, Krishna Prasad K, A novel method for developing explainable machine learning framework using feature neutralization technique , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Nitin J. Wange, Sachin V. Chaudhari, Koteswararao Seelam, S. Koteswari, T. Ravichandran, Balamurugan Manivannan, Algorithmic material selection for wearable medical devices a genetic algorithm-based framework with multiscale modeling , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Fauzi Aldina, Yusrizal ., Deny Setiawan, Alamsyah Taher, Teuku M. Jamil, Social science education based on local wisdom in forming the character of students , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Ayesha Shakith, L. Arockiam, EMSMOTE: Ensemble multiclass synthetic minority oversampling technique to improve accuracy of multilingual sentiment analysis on imbalance data , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Shripada Patil, Sandeep N. Jagdale, Prashant Kalshetti, Management education system in the 21st century: Challenges and opportunities , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Annalakshmi D, C. Jayanthi, A secured routing algorithm for cluster-based networks, integrating trust-aware authentication mechanisms for energy-efficient and efficient data delivery , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Rajeshwari D, C. Victoria Priscilla, An optimized real-time human detected keyframe extraction algorithm (HDKFE) based on faster R-CNN , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Kirti Gupta, Parul Goyal, Modified-multi objective firefly optimization algorithm for object oriented applications test suites optimization , The Scientific Temper: Vol. 14 No. 03 (2023): 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
- 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
<< < 6 7 8 9 10 11 12 13 14 15 > >>
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
