2019
DOI: 10.3390/sym11030394
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Numerical Simulation of PDEs by Local Meshless Differential Quadrature Collocation Method

Abstract: In this paper, a local meshless differential quadrature collocation method based on radial basis functions is proposed for the numerical simulation of one-dimensional Klein–Gordon, two-dimensional coupled Burgers’, and regularized long wave equations. Both local and global meshless collocation procedures are used for spatial discretization, which convert the mentioned partial differential equations into a system of ordinary differential equations. The obtained system has been solved by the forward Euler differ… Show more

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Cited by 28 publications
(19 citation statements)
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“…The LMM [26,31] is utilized for the solution of time-fractional convection-diffusion models. The derivatives of U(y, t) at the centers y h are approximated by the neighborhood of y h , {y h1 , y h2 , y h3 , ..., y hn h } ⊂ {y 1 , y 2 , .…”
Section: Proposed Methodologymentioning
confidence: 99%
See 1 more Smart Citation
“…The LMM [26,31] is utilized for the solution of time-fractional convection-diffusion models. The derivatives of U(y, t) at the centers y h are approximated by the neighborhood of y h , {y h1 , y h2 , y h3 , ..., y hn h } ⊂ {y 1 , y 2 , .…”
Section: Proposed Methodologymentioning
confidence: 99%
“…Tragically, the computational cost of execution and ill-conditioning of the procedure will increment drastically by increasing the number of collocation points. To avoid these limitations, the researchers recommended local meshless techniques [25,26]. The beauty of the local meshless technique is utilizing just neighbouring collocation points which results in a sparse matrix system and ward off the main deficiency of ill-conditioning.…”
Section: Introductionmentioning
confidence: 99%
“…The LMM [26] is extended to the time fractional convection-diffusion models. The derivatives of W(z ¯, t) are approximated at the centers z ¯h by the neighborhood of…”
Section: Proposed Methodologymentioning
confidence: 99%
“…e RBF-based meshless methods have also some deficiencies like other numerical methods, in which the most important one is the dense ill-conditioned matrices and the selection of the optimal value of the shape parameter. To avoid these drawbacks, local meshless methods are the best alternatives, suggested by the researchers which are considered to be accurate and stable for the solution of diverse integer and fractional-order PDE models [18,19]. e local meshless methods are less sensitive to the change in shape parameters than the global version, and it produces wellconditioned sparse matrices.…”
Section: Introductionmentioning
confidence: 99%