2015
DOI: 10.1016/j.enganabound.2015.06.009
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A meshfree method based on the radial basis functions for solution of two-dimensional fractional evolution equation

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Cited by 33 publications
(3 citation statements)
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“…[47][48][49] Various meshless techniques based on the RBFs have been developed and used for solving many types of fractional problems. [50][51][52][53][54][55][56][57][58][59] Very recently, Fu et al 60 employed the method of approximate particular solutions (MAPS) as an alternative of the RBFs for solving diffusion models with constant and variable order time-fractional derivatives.…”
Section: Introductionmentioning
confidence: 99%
“…[47][48][49] Various meshless techniques based on the RBFs have been developed and used for solving many types of fractional problems. [50][51][52][53][54][55][56][57][58][59] Very recently, Fu et al 60 employed the method of approximate particular solutions (MAPS) as an alternative of the RBFs for solving diffusion models with constant and variable order time-fractional derivatives.…”
Section: Introductionmentioning
confidence: 99%
“…The meshless methods based on the RBFs are classified into two principle classes: RBFs meshless methods based on strong form such as and RBFs meshless methods based on weak forms such as radial point interpolation method [30][31][32][33][34][35][36][37]. Very recently, the meshless methods based on the RBFs have been widely used to investigate the numerical solutions of the various types of practical fractional problems [38][39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54]. In the current work, an efficient numerical technique based on a combination of meshless local radial point interpolation method and a time discrete scheme would be discussed and formulated to approximate the solution of governing fractional model (1) with initial and boundary conditions (2).…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, several algorithms have been proposed for solving boundary value problems by means of radial basis functions [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15]. Fasshauer [1] has shown that many of the standard algorithms and strategies used for solving ordinary and partial differential equations with polynomial pseudospectral methods can be easily adapted for the use with radial basis functions.…”
Section: Introductionmentioning
confidence: 99%