Computer-Aided Geometric Design and Matrices

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Mathematics".

Deadline for manuscript submissions: 28 February 2025 | Viewed by 3444

Special Issue Editors


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Guest Editor
Departamento de Matemática Aplicada/IUMA, Universidad de Zaragoza, 50009 Zaragoza, Spain
Interests: computer aided geometric design; approximation theory; numerical analysis; positive matrices; total positivity; high relative accuracy
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Departamento de Matemáticas, Física y Ciencias Tecnológicas, Universidad CEU Cardenal Herrera, 03203 Elche, Spain
Interests: numerical linear algebra; approximation theory; computational mathematics

Special Issue Information

Dear Colleagues,

Symmetry is a characteristic feature of geometric forms, graphics, systems, equations, matrices, and other material objects or abstract entities which is related to their invariance under certain transformations, movements, or exchanges.

Matrices are used in most areas of mathematics and in most scientific fields, either directly or through their use in geometry and numerical analysis. Many computational problems can be solved by reducing them to matrix calculus, and this often involves calculating with large-dimensional matrices. The most obvious geometric interpretation of a symmetric matrix is derived from its eigenvectors, which are orthogonal to each other, allowing for the construction of hypercubes.

Computer-aided geometric design (CAGD) is a discipline dealing with the mathematical description of shape and the computational aspects of geometric objects, of parametric curves and surfaces through control polygons and control nets.

CAGD is a field of mathematical nature, originated in naval engineering and the automotive and aircraft industries. Later, many relations arose between CAGD and other branches of mathematics.

In fact, CAGD uses tools from several mathematical fields such as differential geometry, linear algebra, computer science, numerical analysis, approximation theory and data structures.  

Nowadays, the combination of tools from matrices and CAGD is applied in computer science, many fields of engineering, industry, as well as medicine and life sciences. The main purpose of this Special Issue is to gather recent results on techniques arising from the linear algebra and computational mathematics that can be adapted to deal with problems in CAGD.

We invite you to present your recent contributions to this Special Issue.

Prof. Dr. Esmeralda Mainar
Dr. Antonio Falco
Guest Editors

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Keywords

  • matrices
  • total positivity
  • high relative accuracy
  • subdivision
  • splines and NURBS
  • shape analysis
  • isogeometric analysis
  • interpolation, approximation and smoothing
  • wavelets and multi-resolution methods
  • computer graphics
  • virtual design

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Published Papers (2 papers)

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23 pages, 23885 KiB  
Article
Bézier Curves and Surfaces with the Blending (α, λ, s)-Bernstein Basis
by İlhan Karakılıç, Sedef Karakılıç, Gülter Budakçı and Faruk Özger
Symmetry 2025, 17(2), 219; https://doi.org/10.3390/sym17020219 - 1 Feb 2025
Viewed by 230
Abstract
This study presents a generalized approach to Bézier curves and surfaces by utilizing the blending (α,λ,s)-Bernstein basis. The (α,λ,s)-Bernstein basis introduces shape parameters α, λ, and s [...] Read more.
This study presents a generalized approach to Bézier curves and surfaces by utilizing the blending (α,λ,s)-Bernstein basis. The (α,λ,s)-Bernstein basis introduces shape parameters α, λ, and s, which allow for more flexibility and control over the curve’s shape compared to the classical Bernstein basis. The paper explores the properties of these generalized curves and surfaces, demonstrating their ability to maintain essential geometric characteristics, such as convex hull containment and endpoint interpolation, while providing enhanced control over the shape. This work aims to contribute to the fields of computer-aided geometric design and related applications by offering a robust tool for curve and surface modeling. Full article
(This article belongs to the Special Issue Computer-Aided Geometric Design and Matrices)
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22 pages, 997 KiB  
Article
A New Class of Trigonometric B-Spline Curves
by Gudrun Albrecht, Esmeralda Mainar, Juan Manuel Peña and Beatriz Rubio
Symmetry 2023, 15(8), 1551; https://doi.org/10.3390/sym15081551 - 7 Aug 2023
Cited by 2 | Viewed by 1831
Abstract
We construct one-frequency trigonometric spline curves with a de Boor-like algorithm for evaluation and analyze their shape-preserving properties. The convergence to quadratic B-spline curves is also analyzed. A fundamental tool is the concept of the normalized B-basis, which has optimal shape-preserving properties and [...] Read more.
We construct one-frequency trigonometric spline curves with a de Boor-like algorithm for evaluation and analyze their shape-preserving properties. The convergence to quadratic B-spline curves is also analyzed. A fundamental tool is the concept of the normalized B-basis, which has optimal shape-preserving properties and good symmetric properties. Full article
(This article belongs to the Special Issue Computer-Aided Geometric Design and Matrices)
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