Trio-Geometric mean-based three-stage Runge–Kutta algorithm to solve initial value problem arising in autonomous systems

In the present worldwide scenario, plenty of problems arising in science and engineering which can be modeled as differential equations and out of these, autonomous system has become a subject of great interest. Several laws of physics in which time is considered as an independent variable are expre...

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Published inInternational journal of modeling, simulation and scientific computing Vol. 9; no. 4; p. 1850026
Main Authors Chauhan, Vijeyata, Srivastava, Pankaj Kumar
Format Journal Article
LanguageEnglish
Published Hackensack World Scientific Publishing Company 01.08.2018
World Scientific Publishing Co. Pte., Ltd
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Abstract In the present worldwide scenario, plenty of problems arising in science and engineering which can be modeled as differential equations and out of these, autonomous system has become a subject of great interest. Several laws of physics in which time is considered as an independent variable are expressed as autonomous systems. In this paper, Runge–Kutta (RK) three-stage geometric mean method is used to solve the initial value problem arises in autonomous systems. The method is discussed in detail, convergence of method is discussed, the accuracy and efficiency of the method are proved by considering a numerical example. The result is compared to some other methods and proposed method is found to be more efficient. The detailed analysis of error estimation confirms that proposed method is more efficient as compared to other methods.
AbstractList In the present worldwide scenario, plenty of problems arising in science and engineering which can be modeled as differential equations and out of these, autonomous system has become a subject of great interest. Several laws of physics in which time is considered as an independent variable are expressed as autonomous systems. In this paper, Runge–Kutta (RK) three-stage geometric mean method is used to solve the initial value problem arises in autonomous systems. The method is discussed in detail, convergence of method is discussed, the accuracy and efficiency of the method are proved by considering a numerical example. The result is compared to some other methods and proposed method is found to be more efficient. The detailed analysis of error estimation confirms that proposed method is more efficient as compared to other methods.
Author Chauhan, Vijeyata
Srivastava, Pankaj Kumar
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Cites_doi 10.1007/s00607-010-0139-3
10.4236/ajcm.2013.32020
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Copyright 2018, World Scientific Publishing Company
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Keywords geometric mean
Autonomous IVP
absolute error
explicit Runge–Kutta method
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References Iyengar S. R. K. (S1793962318500265BIB005) 2012
Euler L. (S1793962318500265BIB003) 1913; 11
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Euler H. (S1793962318500265BIB004) 1768
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  doi: 10.1007/s00607-010-0139-3
– volume: 11
  start-page: 424
  volume-title: Opera Omnia
  year: 1913
  ident: S1793962318500265BIB003
– volume-title: Numerical Methods for Scientific and Engineering Computation
  year: 2012
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– ident: S1793962318500265BIB002
  doi: 10.4236/ajcm.2013.32020
– volume-title: Volumen Primum, Opera Omnia
  year: 1768
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StartPage 1850026
SubjectTerms Boundary value problems
Differential equations
Error analysis
Independent variables
Mathematical models
Runge-Kutta method
Title Trio-Geometric mean-based three-stage Runge–Kutta algorithm to solve initial value problem arising in autonomous systems
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