MULTIVARIATE INTERPOLATION USING POLYHARMONIC SPLINES
DOI:
https://doi.org/10.14311/AP.2021.61.0148Keywords:
Data interpolation, smooth interpolation, polyharmonic spline, Fourier transformAbstract
Data measuring and further processing is the fundamental activity in all branches of science and technology. Data interpolation has been an important part of computational mathematics for a long time. In the paper, we are concerned with the interpolation by polyharmonic splines in an arbitrary dimension. We show the connection of this interpolation with the interpolation by radial basis functions and the smooth interpolation by generating functions, which provide means for minimizing the L2 norm of chosen derivatives of the interpolant. This can be useful in 2D and 3D, e.g., in the construction of geographic information systems or computer aided geometric design. We prove the properties of the piecewise polyharmonic spline interpolant and present a simple 1D example to illustrate
them.
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References
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Copyright (c) 2021 Karel Segeth
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Accepted 2020-03-17
Published 2021-02-10
