On the normalization of trigonometric and hyperbolic B-splines

Abstract Trigonometric and hyperbolic B-splines can be computed via recurrence relations analogous to the classical polynomial B-splines. However, in their original formulation, these two types of B-splines do not form a partition of unity and consequently do not admit the notion of control polygons with the convex hull property for design purposes. In this paper, we look into explicit expressions for their normalization and provide a recursive algorithm to compute the corresponding normalization weights. As example application, we consider the exact representation of a circle in terms of $$C^{2n-1}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>C</mml:mi> <mml:mrow> <mml:mn>2</mml:mn> <mml:mi>n</mml:mi> <mml:mo>-</mml:mo> <mml:mn>1</mml:mn> </mml:mrow> </mml:msup> </mml:math> trigonometric B-splines of order $$m=2n+1\ge 3$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>m</mml:mi> <mml:mo>=</mml:mo> <mml:mn>2</mml:mn> <mml:mi>n</mml:mi> <mml:mo>+</mml:mo> <mml:mn>1</mml:mn> <mml:mo>≥</mml:mo> <mml:mn>3</mml:mn> </mml:mrow> </mml:math> , with a variable number of control points. We also illustrate the approximation power of trigonometric and hyperbolic splines.

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Publication Details

Journal
Advances in Computational Mathematics
Published
2025-12-01
DOI
https://doi.org/10.1007/s10444-025-10252-w
Citations
1
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
Field-Weighted Citation Impact
1.33

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article

On the normalization of trigonometric and hyperbolic B-splines

Hendrik Speleers
1 citations
Advances in Computational Mathematics
Advanced Numerical Analysis Techniques
1.33
article

On the normalization of trigonometric and hyperbolic B-splines

Hendrik Speleers
article en
1 citations

Abstract

Abstract Trigonometric and hyperbolic B-splines can be computed via recurrence relations analogous to the classical polynomial B-splines. However, in their original formulation, these two types of B-splines do not form a partition of unity and consequently do not admit the notion of control polygons with the convex hull property for design purposes. In this paper, we look into explicit expressions for their normalization and provide a recursive algorithm to compute the corresponding normalization weights. As example application, we consider the exact representation of a circle in terms of $$C^{2n-1}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>C</mml:mi> <mml:mrow> <mml:mn>2</mml:mn> <mml:mi>n</mml:mi> <mml:mo>-</mml:mo> <mml:mn>1</mml:mn> </mml:mrow> </mml:msup> </mml:math> trigonometric B-splines of order $$m=2n+1\ge 3$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>m</mml:mi> <mml:mo>=</mml:mo> <mml:mn>2</mml:mn> <mml:mi>n</mml:mi> <mml:mo>+</mml:mo> <mml:mn>1</mml:mn> <mml:mo>≥</mml:mo> <mml:mn>3</mml:mn> </mml:mrow> </mml:math> , with a variable number of control points. We also illustrate the approximation power of trigonometric and hyperbolic splines.

Advances in Computational MathematicsVol. 51(6)
University of Rome Tor Vergata (IT)
Istituto Nazionale di Alta Matematica "Francesco Severi", Università degli Studi di Roma Tor Vergata, Gruppo Nazionale per il Calcolo Scientifico
Openalex Percentile: Top 16%
Advanced Numerical Analysis Techniques
1.33
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