Content area

Abstract

Objectives

The present paper describes a new algorithm to find a root of non-linear transcendental equations. It is found that Regula-Falsi method always gives guaranteed result but slow convergence. However, Newton–Raphson method does not give guaranteed result but faster than Regula-Falsi method. Therefore, the present paper used these two ideas and developed a new algorithm which has better convergence than Regula-Falsi and guaranteed result. One of the major issue in Newton–Raphson method is, it fails when first derivative is zero or approximately zero.

Results

The proposed method implemented the failure condition of Newton–Raphson method with better convergence. Error calculation has been discussed for certain real life examples using Bisection, Regula-Falsi, Newton–Raphson method and new proposed method. The computed results show that the new proposed quadratically convergent method provides better convergence than other methods.

Details

1009240
Title
Quadratically convergent algorithm for computing real root of non-linear transcendental equations
Publication title
Volume
11
Pages
1-6
Publication year
2018
Publication date
2018
Section
Research note
Publisher
Springer Nature B.V.
Place of publication
London
Country of publication
Netherlands
Publication subject
e-ISSN
17560500
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2018-12-20
Milestone dates
2018-10-09 (Received); 2018-12-10 (Accepted); 2018-12-20 (Published)
Publication history
 
 
   First posting date
20 Dec 2018
ProQuest document ID
2168602215
Document URL
https://www.proquest.com/scholarly-journals/quadratically-convergent-algorithm-computing-real/docview/2168602215/se-2?accountid=208611
Copyright
© 2018. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2023-11-20
Database
ProQuest One Academic