2013
DOI: 10.1108/ec-02-2012-0030
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Numerical simulation of two dimensional quasilinear hyperbolic equations by polynomial differential quadrature method

Abstract: Purpose -The purpose of this paper is to propose a numerical technique based on polynomial differential quadrature method (PDQM) to find the numerical solutions of two-space-dimensional quasilinear hyperbolic partial differential equations subject to appropriate Dirichlet and Neumann boundary conditions. Design/methodology/approach -The PDQM reduced the equations into a system of second order linear differential equation. The obtained system is solved by RK4 method by converting into a system of first ordinary… Show more

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Cited by 20 publications
(20 citation statements)
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“…(ii) CTBS DQ algorithm proposed in [33] has extended for 2D problems in different forms, and it has concluded the algorithm worked nicely for the same problems. (iii) e developed algorithm is better than the DQ algorithms proposed in [31,32,34] due to more smoothness of CTBS functions.…”
Section: Discussionmentioning
confidence: 94%
See 1 more Smart Citation
“…(ii) CTBS DQ algorithm proposed in [33] has extended for 2D problems in different forms, and it has concluded the algorithm worked nicely for the same problems. (iii) e developed algorithm is better than the DQ algorithms proposed in [31,32,34] due to more smoothness of CTBS functions.…”
Section: Discussionmentioning
confidence: 94%
“…Bellman et al [28] introduced two approaches to calculate WCs. Furthermore, to modify Bellman's approaches for finding WCs, many efforts have been carried out such as Lagrange interpolated cosine functions, spline functions, Legendre polynomials, Lagrange interpolation polynomials, and radial basis functions (see [19,[29][30][31][32][33][34][35] and the references therein) to determine these coefficients. In this study, we determine WCs with the use of CTBS functions after some modifications.…”
Section: Differential Quadrature Methodsmentioning
confidence: 99%
“…We notice that for 1 r = the truncation error vanishes completely. As , 0 h k → (with r constant), , 0 i j T → , so the difference scheme ( 13) is consistent with the wave Equation (2). The CTCS method is also stable for 1 r ≤ , [22] hence by Laxs equivalence theorem [21] it is also convergent for 1 r ≤ .…”
Section: The Ctcs Explicit Difference Schemementioning
confidence: 99%
“…For each of the methods CTCS, Crank-Nicolson and ω we use second order forward, centered and backward differences to approximate the initial derivative condition. In Section 4 we use the methods mentioned in Section 3 to solve an IBVP for (2) for different values of c (…”
Section: Introductionmentioning
confidence: 99%
“…The approaches for solving boundary value problems with homogeneous boundary conditions seem to be effortless in comparison to the problems with non-homogeneous boundary conditions (Kumar et al, 2013; Verma and Jiwari, 2015). The non-homogeneous boundary conditions, for which the problem has solutions, need to be homogenized with the aid of some transformations of the variable.…”
Section: Introductionmentioning
confidence: 99%