Quasi-interpolation by C1 quartic splines on type-1 triangulations

This work was initiated during the visiting on 2017, March of the first and third authors to the Department of Mathematics of the University of Torino, and partially realized during the visiting of the fourth author to the Department of Applied Mathematics of the University of Granada on 2017, November. They thank the financial support of both institutions and the Gruppo Nazionale per il Calcolo Scientifico (GNCS) - INdAM.In this paper we construct two new families of C1 quartic quasi-interpolating splines on type-1 triangulations approximating regularly distributed data. The splines are directly determined by setting their Bernstein–Bézier coefficients to appropriate combinations of the given data values instead of defining the approximating splines as linear combinations of compactly supported bivariate spanning functions and do not use prescribed derivatives at any point of the domain. The quasi-interpolation operators provided by the proposed schemes interpolate the data values at the vertices of the triangulation, reproduce cubic polynomials and yield approximation order four for smooth functions. We also propose some numerical tests that confirm the theoretical results

Trivariate near-best blending spline quasi-interpolation operators

This work was partially realized during the visiting of the third author to the Department of Mathematics, University of Torino. This work has been partially supported by the program “Progetti di Ricerca 2016” of the Gruppo Nazionale per il Calcolo Scientifico (GNCS) - INdAM. Moreover, the authors thank the University of Torino for its support to their research. First and third authors also thank the Research Group FQM-191 for its support to this researchA method to define trivariate spline quasi-interpolation operators (QIOs) is developed by blending univariate and bivariate operators whose linear functionals allow oversampling. In this paper, we construct new operators based on univariate B-splines and bivariate box splines, exact on appropriate spaces of polynomials and having small infinity norms. An upper bound of the infinity norm for a general blending trivariate spline QIO is derived from the Bernstein-Bézier coefficients of the fundamental functions associated with the operators involved in the construction. The minimization of the resulting upper bound is then proposed and the existence of a solution is proved. The quadratic and quartic cases are completely worked out and their exact solutions are explicitly calculated