Extraction and application of super-smooth cubic B-splines over triangulations

被引:2
|
作者
Groselj, Jan [1 ,2 ]
Speleers, Hendrik [3 ]
机构
[1] Univ Ljubljana, Fac Math & Phys, Jadranska 19, Ljubljana 1000, Slovenia
[2] Inst Math Phys & Mech, Jadranska 19, Ljubljana 1000, Slovenia
[3] Univ Roma Tor Vergata, Dept Math, Via Ric Sci 1, I-00133 Rome, Italy
关键词
Triangular finite elements; C 1 cubic splines; B -spline basis; Super; -smoothness; ISOGEOMETRIC ANALYSIS; N-WIDTHS; CONSTRUCTION; MESHES; SPACES;
D O I
10.1016/j.cagd.2023.102194
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The space of C1 cubic Clough-Tocher splines is a classical finite element approximation space over triangulations for solving partial differential equations. However, for such a space there is no B-spline basis available, which is a preferred choice in computer aided geometric design and isogeometric analysis. A B-spline basis is a locally supported basis that forms a convex partition of unity. In this paper, we explore several alternative C1 cubic spline spaces over triangulations equipped with a B-spline basis. They are defined over a Powell-Sabin refined triangulation and present different types of C2 super-smoothness. The super-smooth B-splines are obtained through an extraction process, i.e., they are expressed in terms of less smooth basis functions. These alternative spline spaces maintain the same optimal approximation power as Clough-Tocher splines. This is illustrated with a selection of numerical examples in the context of least squares approximation and finite element approximation for second and fourth order boundary value problems.(c) 2023 Elsevier B.V. All rights reserved.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] CORNER DETECTION AND CURVE REPRESENTATION USING CUBIC B-SPLINES
    MEDIONI, G
    YASUMOTO, Y
    COMPUTER VISION GRAPHICS AND IMAGE PROCESSING, 1987, 39 (03): : 267 - 278
  • [22] Construction and analysis of cubic Powell-Sabin B-splines
    Groselj, Jan
    Speleers, Hendrik
    COMPUTER AIDED GEOMETRIC DESIGN, 2017, 57 : 1 - 22
  • [23] Cubic generalized B-splines for interpolation and nonlinear filtering of images
    Tshughuryan, H
    NONLINEAR IMAGE PROCESSING VIII, 1997, 3026 : 233 - 240
  • [24] Monotone Cubic B-Splines with a Neural-Network Generator
    Wang, Lijun
    Fan, Xiaodan
    Li, Huabai
    Liu, Jun S.
    JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 2025,
  • [25] Numerical simulation of Burgers' equation using cubic B-splines
    Lakshmi C.
    Awasthi A.
    Nonlinear Engineering, 2017, 6 (01) : 61 - 77
  • [26] BCC-Splines: Generalization of B-Splines for the Body-Centered Cubic Lattice
    Csebfalvi, Balazs
    JOURNAL OF WSCG, 2008, 2008, 16 (1-3): : 81 - 88
  • [27] Smooth Orientation Path Planning with Quaternions Using B-Splines
    Neubauer, Matthias
    Mueller, Andreas
    2015 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2015, : 2087 - 2092
  • [28] A Geometric Interpolation Algorithm by Non-uniform Cubic B-splines
    Li, Chunjing
    Wang, Anning
    Li, Kai
    Liu, Jinwu
    2014 5TH INTERNATIONAL CONFERENCE ON DIGITAL HOME (ICDH), 2014, : 132 - 134
  • [29] Effor estimates in smoothing noisy data using cubic B-splines
    Chaabane, Slim
    Elhechmi, Chokri
    Jaoua, Mohamed
    COMPTES RENDUS MATHEMATIQUE, 2008, 346 (1-2) : 107 - 112
  • [30] Inversion of the Poisson transform using proportionally spaced cubic B-splines
    Earnshaw, JC
    Haughey, D
    REVIEW OF SCIENTIFIC INSTRUMENTS, 1996, 67 (12): : 4387 - 4391