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arXiv · 2407.03840

On the convergence of generalized kernel-based interpolation by greedy data selection algorithms

Kristof Albrecht·Armin Iske
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Abstract

We analyze the convergence of generalized kernel-based interpolation methods. This is done under minimalistic assumptions on both the kernel and the target function. On these grounds, we further prove convergence of popular greedy data selection algorithms for totally bounded sets of sampling functionals. Supporting numerical results concerning computerized tomography are provided for illustration.

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Kristof Albrecht, Armin Iske. 2024-11-25. On the convergence of generalized kernel-based interpolation by greedy data selection algorithms. https://arxiv.org/abs/2407.03840

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