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Spectral alignment of kernel matrices and applications
Tizan Wenzel, Armin Iske
Kernel matrices are a key quantity in kernel-based approximation, and important properties such as stability and algorithmic convergence can be analyzed with their help. In this wo…
math.NA2024★ 1 cited
On the convergence of generalized kernel-based interpolation by greedy data selection algorithms
Kristof Albrecht, Armin Iske
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 groun…