2019
DOI: 10.1016/j.enganabound.2018.11.002
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Improvements to the meshless generalized finite difference method

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Cited by 18 publications
(6 citation statements)
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“…Arteaga et al [18] showed that static diffusion equation model could be solved by using finite difference method. For more theories and further applications, the modified (generalized) finite difference method was investigated by some researchers, such as Kamyabi et al [19]. This modified (generalized) finite difference method has been applied in many areas, such as in analyzing matched layer elements [20], solving plane crack problem [21], analyzing dendritic growth [22], numerical simulation on waves-current interactions [23], and analyzing three-dimensional transient electromagnetic problems [24].…”
Section: Introductionmentioning
confidence: 99%
“…Arteaga et al [18] showed that static diffusion equation model could be solved by using finite difference method. For more theories and further applications, the modified (generalized) finite difference method was investigated by some researchers, such as Kamyabi et al [19]. This modified (generalized) finite difference method has been applied in many areas, such as in analyzing matched layer elements [20], solving plane crack problem [21], analyzing dendritic growth [22], numerical simulation on waves-current interactions [23], and analyzing three-dimensional transient electromagnetic problems [24].…”
Section: Introductionmentioning
confidence: 99%
“…The influence of factors such as the size of the point cluster, the shape of the point cluster, and the selection of the weight function on the accuracy of the GFDM is also analyzed [11]. Kamyabi proposed an improved version of the GFDM, which makes it no longer dependent on the least square method and can handle the Neumann boundary conditions in a sophisticated way [12]. At present, the GFDM has been effectively applied in many fields.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, many efforts have been devoted to generalize the traditional difference method on scattered point sets. Most of them are based on a large number of neighboring points to fit derivatives [13][14][15][16], while there are also a few jobs in which a small number of neighbors are employed [17][18][19], however, none of them can address the issue of singularity or ill-conditioning of numerical derivatives at the fundamental level. In addition, many scholars have studied the difference method based on radial basis function (RBF) [20][21][22][23][24], which can be also viewed as a generalization of the traditional difference method.…”
Section: Introductionmentioning
confidence: 99%