On choosing “optimal” shape parameters for RBF approximation

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Fasshauer, Gregory E., and Jack G. Zhang. “On Choosing ‘optimal’ Shape Parameters for RBF Approximation”. Numerical Algorithms, vol. 45, no. 1-4, 2007, pp. 345-68, https://doi.org/10.1007/s11075-007-9072-8.
Fasshauer, G. E., & Zhang, J. G. (2007). On choosing “optimal” shape parameters for RBF approximation. Numerical Algorithms, 45(1-4), 345-368. https://doi.org/10.1007/s11075-007-9072-8
Fasshauer, Gregory E., and Jack G. Zhang. “On Choosing ‘optimal’ Shape Parameters for RBF Approximation”. Numerical Algorithms 45, no. 1-4 (2007): 345-68. https://doi.org/10.1007/s11075-007-9072-8.
Fasshauer GE, Zhang JG. On choosing “optimal” shape parameters for RBF approximation. Numerical Algorithms. 2007;45(1-4):345-68.
Refrences
Title Journal Journal Categories Citations Publication Date
Eigenvalue stability of radial basis function discretizations for time-dependent problems Computers & Mathematics with Applications
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Computation of natural frequencies of shear deformable beams and plates by an RBF-pseudospectral method Computer Methods in Applied Mechanics and Engineering
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  • Technology: Mechanical engineering and machinery
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Results on meshless collocation techniques Engineering Analysis with Boundary Elements
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On interpolation by radial polynomials Advances in Computational Mathematics
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Adaptive radial basis function methods for time dependent partial differential equations Applied Numerical Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
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Citations
Title Journal Journal Categories Citations Publication Date
Numerical simulation of spatio-temporal spread of an infectious disease utilizing a collocation method based on local radial basis functions Engineering with Computers
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
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2024
Spherical interpolation of scattered data using least squares thin-plate spline and inverse multiquadric functions Numerical Algorithms
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
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Computing compact finite difference formulas under radial basis functions with enhanced applicability Applied Numerical Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
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Stabilized interpolation using radial basis functions augmented with selected radial polynomials Journal of Computational and Applied Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
1 2024
A computational approach for solving third kind VIEs by collocation method based on radial basis functions Journal of Computational and Applied Mathematics
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The category Science: Mathematics 252 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Stability and Error Estimates for Vector Field Interpolation and Decomposition on the Sphere with RBFs and was published in 2009. The most recent citation comes from a 2024 study titled Multinode Shepard method for two-dimensional elliptic boundary problems on different shaped domains. This article reached its peak citation in 2023, with 52 citations. It has been cited in 177 different journals, 19% of which are open access. Among related journals, the Engineering Analysis with Boundary Elements cited this research the most, with 55 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year