A tchebycheffian extension of multidegree B-splines

Algorithmic computation and properties

Journal Article (2020)
Author(s)

René R. Hiemstra (Leibniz University of Hannover, The University of Texas at Austin)

Thomas J.R. Hughes (The University of Texas at Austin)

Carla Manni (University of Rome Tor Vergata)

Hendrik Speleers (University of Rome Tor Vergata)

Deepesh Toshniwal (TU Delft - Numerical Analysis, The University of Texas at Austin)

Research Group
Numerical Analysis
DOI related publication
https://doi.org/10.1137/19M1263583
More Info
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Publication Year
2020
Language
English
Research Group
Numerical Analysis
Issue number
2
Volume number
58
Pages (from-to)
1138-1163

Abstract

In this paper, we present an efficient and robust approach to compute a normalized B-spline-like basis for spline spaces with pieces drawn from extended Tchebycheff spaces. The extended Tchebycheff spaces and their dimensions are allowed to change from interval to interval. The approach works by constructing a matrix that maps a generalized Bernstein-like basis to the B-spline-like basis of interest. The B-spline-like basis shares many characterizing properties with classical univariate B-splines and may easily be incorporated in existing spline codes. This may contribute to the full exploitation of Tchebycheffian splines in applications, freeing them from the restricted role of an elegant theoretical extension of polynomial splines. Numerical examples are provided that illustrate the procedure described.

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