We investigate the construction of C-2 cubic spline quasi-interpolants on a given arbitrary triangulation r to approximate a sufficiently smooth function f . The proposed quasi-interpolants are locally represented in terms of a simplex spline basis defined on the cubic Wang-Shi refinement of the triangulation. This basis behaves like a B-spline basis within each triangle of r and like a Bernstein basis for imposing smoothness across the edges of T. Any element of the cubic Wang-Shi spline space can be uniquely identified by considering a local Hermite interpolation problem on every triangle of T. Different C-2 cubic spline quasi-interpolants are then obtained by feeding different sets of Hermite data to this Hermite interpolation problem, possibly reconstructed via local polynomial approximation. All the proposed quasi-interpolants reproduce cubic polynomials and their performance is illustrated with various numerical examples.

Maximally smooth cubic spline quasi-interpolants on arbitrary triangulations / Marsala M.; Manni C.; Speleers H.. - In: COMPUTER AIDED GEOMETRIC DESIGN. - ISSN 0167-8396. - ELETTRONICO. - 112:(2024), pp. 102348.0-102348.0. [10.1016/j.cagd.2024.102348]

Maximally smooth cubic spline quasi-interpolants on arbitrary triangulations

Marsala M.;Manni C.;Speleers H.
2024

Abstract

We investigate the construction of C-2 cubic spline quasi-interpolants on a given arbitrary triangulation r to approximate a sufficiently smooth function f . The proposed quasi-interpolants are locally represented in terms of a simplex spline basis defined on the cubic Wang-Shi refinement of the triangulation. This basis behaves like a B-spline basis within each triangle of r and like a Bernstein basis for imposing smoothness across the edges of T. Any element of the cubic Wang-Shi spline space can be uniquely identified by considering a local Hermite interpolation problem on every triangle of T. Different C-2 cubic spline quasi-interpolants are then obtained by feeding different sets of Hermite data to this Hermite interpolation problem, possibly reconstructed via local polynomial approximation. All the proposed quasi-interpolants reproduce cubic polynomials and their performance is illustrated with various numerical examples.
2024
112
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Goal 9: Industry, Innovation, and Infrastructure
Marsala M.; Manni C.; Speleers H.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1397795
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