ConcentricInterpolation: The Concentric Interpolation method efficiently interpolates multi-dimensional data on multi-dimensional spaces. It is based on a concentric placement of the function samples, i.e. centered around the origin and placed along equidistributed directions at certain radii. This structure is exploited by means of a two-staged interpolation: first, a radial interpolation is performed, i.e. a one-dimensional interpolation along each direction by means of piecewise defined polynomial. Second, a tangential interpolation is performed using classical spherical basis functions. For more information, see the associated research article: Oliver Kunc and Felix Fritzen; Generation of energy-minimizing point sets on spheres and their application in mesh-free interpolation and differentiation
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References in zbMATH (referenced in 2 articles )
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- Raschi, Marcelo; Lloberas-Valls, Oriol; Huespe, Alfredo; Oliver, Javier: High performance reduction technique for multiscale finite element modeling (HPR-FE(^2)): towards industrial multiscale FE software (2021)
- Kunc, Oliver; Fritzen, Felix: Generation of energy-minimizing point sets on spheres and their application in mesh-free interpolation and differentiation (2019)