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
- O. Devipriya, K. Kungumaraj, Enhancing cloud efficiency: an intelligent virtual machine selection and migration approach for VM consolidation , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Amit Maru, Dhaval Vyas, Hybrid deep learning approach for pre-flood and post-flood classification of remote sensed data , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- J. Fathima Fouzia, M. Mohamed Surputheen, M. Rajakumar, A Unified Consistency-Calibrated Boundary-Aware Framework for Generalizable Skin Cancer Detection , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Sheena Edavalath, Manikandasaran S. Sundaram, Cost-based resource allocation method for efficient allocation of resources in a heterogeneous cloud environment , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- P. Hepsibah Kenneth, E. George Dharma Prakash Raj, Priority based parallel processing multi user multi task scheduling algorithm , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- Raja S, Nagarajan L., Hybridization of bio-inspired algorithms with machine learning models for predicting the risk of type 2 diabetes mellitus , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- V Maria Jenifer, M Mary Mejrullo Merlin, The Architectural Features of Peruvudaiyar Kovil (BRIHADEESWARAR TEMPLE) , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- Kavitha V, Panneer Arokiaraj S., RPL-eSOA: Enhancing IoT network sustainability with RPL and enhanced sandpiper optimization algorithm , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- ASHOK KUMAR, SADGURU PRAKASH, MARKANDEY MISHRA, MARIGOLD AS A TRAP CROP FOR THE MANAGEMENT OF TOMATO FRUIT BORER, HELICOVERPA ARMIGERA IN TARAI REGION OF UTTAR PRADESH , The Scientific Temper: Vol. 3 No. 1&2 (2012): The Scientific Temper
- Rahul Maurya, Thirupataiah B, Lakshminarayana Misro, Thulasi R, Effect of the Solvent Polarity and Temperature in the Isolation of Pure Andrographolide from Andrographis paniculata , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
<< < 10 11 12 13 14 15 16 17 18 19 > >>
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
