2018
DOI: 10.1007/s10915-018-0739-1
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A Closed-Form Formula for the RBF-Based Approximation of the Laplace–Beltrami Operator

Abstract: In this paper we present a method that uses radial basis functions to approximate the Laplace-Beltrami operator that allows to solve numerically diffusion (and reactiondiffusion) equations on smooth, closed surfaces embedded in R 3 . The novelty of the method is in a closed-form formula for the Laplace-Beltrami operator derived in the paper, which involve the normal vector and the curvature at a set of points on the surface of interest. An advantage of the proposed method is that it does not rely on the explic… Show more

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Cited by 7 publications
(10 citation statements)
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References 40 publications
(65 reference statements)
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“…Then, we describe how to compute the weights for local RBF-FD approximation of the LBO. As in [2], it is also necessary to compute some characteristics of the surface, such as the normal vectors and its curvature, which are also computed using a local RBF methodology. Finally, we describe how to build a differentiation matrix that approximates the action of the LBO in reaction-diffusion type equations on surfaces.…”
Section: Formulation Of the Problemmentioning
confidence: 99%
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“…Then, we describe how to compute the weights for local RBF-FD approximation of the LBO. As in [2], it is also necessary to compute some characteristics of the surface, such as the normal vectors and its curvature, which are also computed using a local RBF methodology. Finally, we describe how to build a differentiation matrix that approximates the action of the LBO in reaction-diffusion type equations on surfaces.…”
Section: Formulation Of the Problemmentioning
confidence: 99%
“…There are several types of RBFs, and the choice of the optimal one for a given problem is still an open question. Among the infinitely differentiable RBFs, those used most often are the Gaussian φ(r) = exp(−( r) 2 ), the Inverse Quadratic φ(r) = 1/(1 + ( r) 2 ) and the Inverse Multiquadric φ(r) = 1/ 1 + ( r) 2 . All these contain a free parameter , called shape parameter, that controls the flatness of the RBF (the smaller the flatter).…”
Section: Rbf Fundamentalsmentioning
confidence: 99%
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“…For example, see [2] for the closed-form formulations of orthogonal projection method. In addition, several recent articles presented hybrid methods that incorporate features of RBF approach alongside embedding methods [53].…”
Section: History Of Rbf Approaches To Solving Pdesmentioning
confidence: 99%