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Bivariate hierarchical Hermite spline quasi--interpolation

Research paper by Cesare Bracco, Carlotta Giannelli, Francesca Mazzia, Alessandra Sestini

Indexed on: 10 Jan '16Published on: 10 Jan '16Published in: Mathematics - Numerical Analysis



Abstract

Spline quasi-interpolation (QI) is a general and powerful approach for the construction of low cost and accurate approximations of a given function. In order to provide an efficient adaptive approximation scheme in the bivariate setting, we consider quasi-interpolation in hierarchical spline spaces. In particular, we study and experiment the features of the hierarchical extension of the tensor-product formulation of the Hermite BS quasi-interpolation scheme. The convergence properties of this hierarchical operator, suitably defined in terms of truncated hierarchical B-spline bases, are analyzed. A selection of numerical examples is presented to compare the performances of the hierarchical and tensor-product versions of the scheme.