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- Vol. 3 Issue 1
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Study of Runge-Kutta Method of Higher Orders and its Applications
Authors
1Department of Electrical Engineering, Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune, India. 2Assistant Professor, Department of Electrical Engineering, Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune, India
Article Information
- DOI
- No DOI
- Published In
- Volume 3, Issue 1 (2022)
- Published Online
- January-February 2022
- Pages
- 47-49
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
References
[1]. Ashok Kumar. Application of Runge-Kutta method for the solution of non-linear partial differential equations (Received 23 March 1976).
[2]. V Nirmala*, V Parimala and P Rajarajeswari. Application of Runge-Kutta method for finding multiple numerical solutions to intuitionistic fuzzy differential equations
[3]. Abbasbandy S and Allahviranloo T 2002 Numerical solution of fuzzy differential equation by Runge- kutta method and the intutionistic treatment Notes on Intuitionistic Fuzzy Sets 8 3 pp 45– 53
[4]. Lata S and Kumar A 2012 A new method to solve time-dependent intuitionistic fuzzy differential equations and its application to analyze the intuitionistic fuzzy reliability of industrial systems Concurrent Engineering 20 3 pp 177–184.
[5]. Mondal S P, Sankar P and Roy T K 2014 First order homogeneous ordinary differential equation with initial value as triangular intuitionistic fuzzy number Journal of Uncertainty in Mathematics Science 2014 pp 1–17.
[6]. Mondal S P and Roy T K 2015 System of differential equation with initial value as triangular Intuitionistic fuzzy number and its application International Journal of Applied and Computational Mathematics 1 pp 1–2
[2]. V Nirmala*, V Parimala and P Rajarajeswari. Application of Runge-Kutta method for finding multiple numerical solutions to intuitionistic fuzzy differential equations
[3]. Abbasbandy S and Allahviranloo T 2002 Numerical solution of fuzzy differential equation by Runge- kutta method and the intutionistic treatment Notes on Intuitionistic Fuzzy Sets 8 3 pp 45– 53
[4]. Lata S and Kumar A 2012 A new method to solve time-dependent intuitionistic fuzzy differential equations and its application to analyze the intuitionistic fuzzy reliability of industrial systems Concurrent Engineering 20 3 pp 177–184.
[5]. Mondal S P, Sankar P and Roy T K 2014 First order homogeneous ordinary differential equation with initial value as triangular intuitionistic fuzzy number Journal of Uncertainty in Mathematics Science 2014 pp 1–17.
[6]. Mondal S P and Roy T K 2015 System of differential equation with initial value as triangular Intuitionistic fuzzy number and its application International Journal of Applied and Computational Mathematics 1 pp 1–2
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