2015
DOI: 10.1016/j.camwa.2015.03.026
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An efficient and accurate implementation of the Localized Regular Dual Reciprocity Method

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Cited by 6 publications
(5 citation statements)
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“…Results for different sizes of integration subregions for the LRDRM where reported in [3], when using the integral representation formula based on the superposition of single and double layer potentials, i.e. in terms of the fundamental solution and its normal derivative.…”
Section: Results For Different Sizes Of Integration Subregionmentioning
confidence: 99%
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“…Results for different sizes of integration subregions for the LRDRM where reported in [3], when using the integral representation formula based on the superposition of single and double layer potentials, i.e. in terms of the fundamental solution and its normal derivative.…”
Section: Results For Different Sizes Of Integration Subregionmentioning
confidence: 99%
“…The main objective of this work is not to compare different implementation of meshless DRMs (see Caruso et al [3] for such a comparison) but instead, we highlight the misreference to the so called Companion Solution (Green's function) in meshless BEMs and the lost in versatility of the approach when the Green's function is only evaluated at the center of the integration subregions. As we will show in the next section, by keeping the number of interpolation stencils fixed and increasing the number of collocation points (different to the center of the circle) at the local integration formula in regions of high variations of the field variable u a kind of P-adaptive scheme is implemented.…”
Section: Mathematical Formulation and Boundary Integral Represention mentioning
confidence: 99%
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“…Smooth ϕ(r, ε) e −(εr) 2 Gaussian GA [2,28,16,31] 1 + (εr) 2 Multiquadric MQ [1,4,6,25] 1 + (εr) 2 β , β ∈ R\N 0 Generalized Multiquadric GMQ [19] 1/ 1 + (εr) 2 Inverse Multiquadric IMQ [6,12,19,34] Piecewise smooth ϕ(r) r β , β / ∈ 2N Radial Potential RP [30] r 2β log(r), β ∈ N Thin Plate Spline TPS [4,32,33] r 2β−1 or r 2β log(r), β ∈ N Polyharmonic Spline PHS [3,11,28,29] Table 1. Some well-known RBFs; ε is the shape parameter.…”
Section: Name Of Rbf Abbreviationmentioning
confidence: 99%