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The paper provides a generalization of ▫$C^1$▫ quadratic splines over a Powell-Sabin refined triangulation to ▫$C^1$▫ splines of any degree greater than two. The splines are constructed by imposing maximal super-smoothness at Powell-Sabin triangle split points and reproduce polynomials to the highest possible degree. The spline spaces are characterized by functionals that induce a B-spline representation over a triangulation, i.e., a representation of splines in terms of locally supported nonnegative basis functions that form a partition of unity. This makes the considered splines readily applicable in computer aided geometric design, function approximation problems, and finite element methods for solving partial differential equations.

Publication Details

Journal
Mathematics and Computers in Simulation
Published
2025-12-03
DOI
https://doi.org/10.1016/j.matcom.2025.11.035
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Higher-degree super-smooth <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si3.svg" display="inline" id="d1e841"> <mml:msup> <mml:mrow> <mml:mi>C</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>1</mml:mn> </mml:mrow> </mml:msup> </mml:math>

Mathematics and Computers in Simulation
Advanced Numerical Analysis Techniques
article

Higher-degree super-smooth <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si3.svg" display="inline" id="d1e841"> <mml:msup> <mml:mrow> <mml:mi>C</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>1</mml:mn> </mml:mrow> </mml:msup> </mml:math>

article en

Abstract

The paper provides a generalization of ▫$C^1$▫ quadratic splines over a Powell-Sabin refined triangulation to ▫$C^1$▫ splines of any degree greater than two. The splines are constructed by imposing maximal super-smoothness at Powell-Sabin triangle split points and reproduce polynomials to the highest possible degree. The spline spaces are characterized by functionals that induce a B-spline representation over a triangulation, i.e., a representation of splines in terms of locally supported nonnegative basis functions that form a partition of unity. This makes the considered splines readily applicable in computer aided geometric design, function approximation problems, and finite element methods for solving partial differential equations.

Mathematics and Computers in SimulationVol. 243
Openalex Percentile: Top 40%
Advanced Numerical Analysis Techniques
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