Mixed Crank-Nicolson and Galerkin Methods for Solving Nonlinear Hyperbolic Partial Differential Equation

In this work,the approximation solution for nonlinear hyperbolic partial differential equation(NLHPDE) is obtained by using the mixed Crank-Nicolson (CN) schemeand the GalerkinMethod(GM) and it is symbolized by (MCNGM).At first theCNis utilized for the variable of time to obtain the discrete weak form for the NLHPDE, and then the GM is utilized which reduces the DWF into theGalerkin nonlinear algebraic system (GNLAS) at each step of time. Through utilizing the predictor-corrector techniques which are symbolized by the obtained GNLAS is transformed into Galerkin linear algebraic system (GLAS) which is solved by applying the Cholesky method. The convergence of the method is studied. Some examples are given to illustrate the efficiency and the accuracy for the proposed method.

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Publication Details

Journal
Mustansiriyah journal of pure and applied sciences.
Published
2024-09-30
DOI
https://doi.org/10.47831/mjpas.v2i4.107
Citations
1
Primary Topic
Differential Equations and Numerical Methods
Type
article
Field-Weighted Citation Impact
0.73
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article

Mixed Crank-Nicolson and Galerkin Methods for Solving Nonlinear Hyperbolic Partial Differential Equation

Safaa Juma Al-Qaisi, Wafaa Abd Ibrahim, Marwa Ahmed
1 citations
Mustansiriyah journal of pure and applied sciences.
Differential Equations and Numerical Methods
0.73
article

Mixed Crank-Nicolson and Galerkin Methods for Solving Nonlinear Hyperbolic Partial Differential Equation

Safaa Juma Al-Qaisi, Wafaa Abd Ibrahim, Marwa Ahmed
article en
1 citations

Abstract

In this work,the approximation solution for nonlinear hyperbolic partial differential equation(NLHPDE) is obtained by using the mixed Crank-Nicolson (CN) schemeand the GalerkinMethod(GM) and it is symbolized by (MCNGM).At first theCNis utilized for the variable of time to obtain the discrete weak form for the NLHPDE, and then the GM is utilized which reduces the DWF into theGalerkin nonlinear algebraic system (GNLAS) at each step of time. Through utilizing the predictor-corrector techniques which are symbolized by the obtained GNLAS is transformed into Galerkin linear algebraic system (GLAS) which is solved by applying the Cholesky method. The convergence of the method is studied. Some examples are given to illustrate the efficiency and the accuracy for the proposed method.

Mustansiriyah journal of pure and applied sciences.Vol. 2(4)
University of Diyala (IQ)
Openalex Percentile: Top 29%
Differential Equations and Numerical Methods
0.73
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