Verifying convergence rates of discrete thin-plate splines in 3D.

Linda Stals, Stephen Roberts

Abstract


Traditional thin-plate splines use radial basis functions that produce dense linear system of equations whose size increases with the number of data points. We present a discrete thin-plate spline method that uses polynomials with local support defined on finite-element grids. The resulting system of equations is sparse and its size depends only on the number of nodes in the finite element grid. Theory is developed for general $d$-dimensional data sets and model problems are presented in 3D to study the convergence behaviour.

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DOI: http://dx.doi.org/10.21914/anziamj.v46i0.975



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ANZIAM Journal, ISSN 1446-8735, copyright Australian Mathematical Society.