Advances in scattered data interpolation
The aim of this paper is to present several effective techniques for representing real valued functions that interpolate to scattered data, that is, data sampled at arbitrary locations in the plane. Divided in 5 parts: Introduction, Multiquadratic interpolation (Affine invariant metric, quadratic Shepard's method), Distance and nearest neighbor methods, Triangulation based methods (Minimum norm networks, Hybrid Bézier triangle patches), Related topics, this survey benefits of 80 references from the last couple of years.
scientific article; zbMATH DE number 614344