Convergence of the Method of False Position
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2022.13.2.13Keywords:
Method of false position, rate of convergence, percentage error, trend, algorithm, accuracy, 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.
The method of false position has been applied to calculate the fourth roots of the natural numbers from 1 to 30 in the interval [0, 3] with the stopping tolerance of 0.00001 using C++ computer program. The minimum error 0.000000029282 and minimum percentage error 0.000001251170 have been obtained in the determination of fourth roots of 30. The maximum error 0.000002324581 and maximum percentage error 0.000232458100 have been obtained in the determination of fourth roots of 1. The average value of the error is 0.000000392037 and the average value of percentage error is 0.000027500512. Minimum, maximum and average values the numerical rate of convergence have been found to be 0.239808153477, 1.851851851852 and 1.197514787730 respectively.Abstract
How to Cite
Downloads
Similar Articles
- S. Sindhu, L. Arockiam, A lightweight selective stacking framework for IoT crop recommendation , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Lakshminarayani A, A Shaik Abdul Khadir, A blockchain-integrated smart healthcare framework utilizing dynamic hunting leadership algorithm with deep learning-based disease detection and classification model , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Abhishek K Pandey, Amrita Sahu, Ajay K Harit, Manoj Singh, Nutritional composition of the wild variety of edible vegetables consumed by the tribal community of Raipur, Chhattisgarh, India , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Shiny Bridgette I, Rexlin Jeyakumari S, An optimal fuzzy inventory model for rice farming using lagrangean method , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Krutuja S. Gadgil, Prabodh Khampariya, Shashikant M. Bakre, Investigation of power quality problems and harmonic exclusion in the power system using frequency estimation techniques , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Ambica Batas, Udayakumara Ramakrishna B.N, Abuse of Dominant Position in the Realm of the Professional Sports Industry , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- T. V. Sathe, A. D. Jadhav, Chougale T. M., LIFE TABLE AND INTRINSIC RATE OF INCREASE IN APANTELES AGILIS ASHMEAD, A LARVAL PARASITOID OF DIAPHANIA PULVERULENTALIS (HAMPSON). , The Scientific Temper: Vol. 1 No. 01 (2010): The Scientific Temper
- Olivia C. Gold, Jayasimman Lawrence, Ensemble of CatBoost and neural networks with hybrid feature selection for enhanced heart disease prediction , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Ayesha Shakith, L. Arockiam, Enhancing classification accuracy on code-mixed and imbalanced data using an adaptive deep autoencoder and XGBoost , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- S. Ranganathan, V. Umadevi, FDBSCAN-MBKSched: A Hybrid Edge-Cloud Clustering and Energy-Aware Federated Learning Framework with Adaptive Update Scheduling for Healthcare IoT , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
<< < 11 12 13 14 15 16 17 18 19 20 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Lavkush Pandey, Trilokinath, Convergence of Bisection Method , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
