Norms of inverses and condition numbers for matrices associated with scattered data
Journal of Approximation Theory
Approximation algorithms for NP-hard problems
Approximation algorithms for NP-hard problems
Multistep scattered data interpolation using compactly supported radial basis functions
Journal of Computational and Applied Mathematics - Special issue on scattered data
Adaptive thinning for bivariate scattered data
Journal of Computational and Applied Mathematics
Multi-level partition of unity implicits
ACM SIGGRAPH 2003 Papers
Approximating and intersecting surfaces from points
Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
Progressive scattered data filtering
Journal of Computational and Applied Mathematics
Multi-level partition of unity implicits
SIGGRAPH '05 ACM SIGGRAPH 2005 Courses
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Multilevel scattered data interpolation requires decomposing the given data into a hierarchy of nested subsets. This paper concerns the efficient construction of such hierarchies. To this end, a recursive filter scheme for scattered data is proposed which generates hierarchies of locally optimal nested subsets. The scheme is a composition of greedy thinning, a recursive point removal strategy, and exchange, a local optimization procedure. The utility of the filter scheme for multilevel interpolation using radial basis functions is shown by numerical examples.