82 citations · 433 across the 35 of their papers we have counts for
3 papers · 1 filter
Convergence rate of the data-independent -greedy algorithm in kernel-based approximation
Gabriele Santin, Bernard Haasdonk
Kernel-based methods provide flexible and accurate algorithms for the reconstruction of functions from meshless samples. A major question in the use of such methods is the influenc…
A rescaled method for RBF approximation
Stefano De Marchi, Andrea Idda, Gabriele Santin
In the recent paper [8], a new method to compute stable kernel-based interpolants has been presented. This \textit{rescaled interpolation} method combines the standard kernel inter…
Partition of unity interpolation using stable kernel-based techniques
R. Cavoretto, S. De Marchi, A. De Rossi +2
In this paper we propose a new stable and accurate approximation technique which is extremely effective for interpolating large scattered data sets. The Partition of Unity (PU) met…