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Non-polynomial B-spline and shifted Jacobi spectral collocation techniques to solve time-fractional nonlinear coupled Burgers’ equations numerically
- Source :
- Advances in Difference Equations, Vol 2021, Iss 1, Pp 1-28 (2021)
- Publication Year :
- 2021
- Publisher :
- SpringerOpen, 2021.
-
Abstract
- This paper proposes two numerical approaches for solving the coupled nonlinear time-fractional Burgers’ equations with initial or boundary conditions on the interval $[0, L]$ [ 0 , L ] . The first method is the non-polynomial B-spline method based on L1-approximation and the finite difference approximations for spatial derivatives. The method has been shown to be unconditionally stable by using the Von-Neumann technique. The second method is the shifted Jacobi spectral collocation method based on an operational matrix of fractional derivatives. The proposed algorithms’ main feature is that when solving the original problem it is converted into a nonlinear system of algebraic equations. The efficiency of these methods is demonstrated by applying several examples in time-fractional coupled Burgers equations. The error norms and figures show the effectiveness and reasonable accuracy of the proposed methods.
- Subjects :
- Computer Science::Machine Learning
Shifted Jacobi polynomial
Algebra and Number Theory
Partial differential equation
Applied Mathematics
B-spline
Finite difference
Computer Science::Digital Libraries
Jacobi–Gauss quadrature
Fractional calculus
Statistics::Machine Learning
Algebraic equation
Nonlinear system
Non-polynomial B-spline functions
Ordinary differential equation
Liouville–Caputo fractional derivative
Computer Science::Mathematical Software
Von Neumann stability
QA1-939
Applied mathematics
Boundary value problem
Fractional coupled Burgers’ equation
Analysis
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 16871847
- Volume :
- 2021
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Advances in Difference Equations
- Accession number :
- edsair.doi.dedup.....33948052a28556a3e5ec9a07c4583c26