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We introduce new manifold-based splines that are able to exactly reproduce B-splines on unstructured surface meshes. Such splines can be used in isogeometric analysis (IGA) to represent smooth surfaces of arbitrary topology. Since prevalent…

Numerical Analysis · Mathematics 2019-01-31 Qiaoling Zhang , Thomas Takacs , Fehmi Cirak

A fast algorithm for B-splines in mixed models is presented. B-splines have local support and are computational attractive, because the corresponding matrices are sparse. A key element of the new algorithm is that the local character of…

Computation · Statistics 2015-02-17 Martin P. Boer

B-splines of order $k$ can be viewed as a mapping $N$ taking a $(k+1)$-tuple of increasing real numbers $a_0 < \cdots < a_k$ and giving as a result a certain piecewise polynomial function. Looking at this mapping $N$ as a whole, basic…

Classical Analysis and ODEs · Mathematics 2021-12-08 Anna Kamont , Markus Passenbrunner

In this paper, we investigate fractional B splines and their connections with Fourier analysis, and establish connections with generalized Stirling-type numbers and distribution theory. Employing a generating function approach inspired by…

General Mathematics · Mathematics 2026-05-18 Damla Gun , Peter Massopust , Yilmaz Simsek

The paradigm of differentiable programming has significantly enhanced the scope of machine learning via the judicious use of gradient-based optimization. However, standard differentiable programming methods (such as autodiff) typically…

Inspired by shape constrained estimation under general nonnegative derivative constraints, this paper considers the B-spline approximation of constrained functions and studies the asymptotic performance of the constrained B-spline…

Classical Analysis and ODEs · Mathematics 2015-10-20 Teresa M. Lebair , Jinglai Shen

The paper is devoted to problem of spline approximation. A new method of nodes location for curves and surfaces computer construction by means of B-splines and results of simulink-modeling is presented. The advantages of this paper is that…

Numerical Analysis · Computer Science 2011-07-22 Annapurna Sharma , Hakimjon Zaynidinov , Hoon Jae Lee

We introduce B-splines on the line of quaternionic order $B_q$ ($q$ in the algebra of quaternions) for the purposes of multi-channel signal and image analysis. The functions $B_q$ are defined first by their Fourier transforms, then as the…

Functional Analysis · Mathematics 2016-08-31 Jeffrey A. Hogan , Peter Massopust

Cubic spline interpolation on Euclidean space is a standard topic in numerical analysis, with countless applications in science and technology. In several emerging fields, for example computer vision and quantum control, there is a growing…

Numerical Analysis · Mathematics 2018-10-03 Geir Bogfjellmo , Klas Modin , Olivier Verdier

The paper proposes, an algorithm to produce novel m-point (for any integer m>=2) binary non-stationary subdivision scheme. It has been developed using uniform trigonometric B-spline basis functions and smoothness is being analyzed using the…

Numerical Analysis · Mathematics 2013-02-06 Shahid S. Siddiqi , Muhammad Younis

This paper presents a general framework for calculating the dimension of spline spaces over arbitrary rectilinear partitions using the smoothing cofactor method. The approach extends existing dimension theory for polynomial splines over…

Numerical Analysis · Mathematics 2026-05-15 Bingru Huang , Falai Chen

In this paper, we address the problem of constructing $C^2$ cubic spline functions on a given arbitrary triangulation $\mathcal{T}$. To this end, we endow every triangle of $\mathcal{T}$ with a Wang-Shi macro-structure. The $C^2$ cubic…

Numerical Analysis · Mathematics 2023-07-28 Tom Lyche , Carla Manni , Hendrik Speleers

A Chebyshev expansion is a series in the basis of Chebyshev polynomials of the first kind. When such a series solves a linear differential equation, its coefficients satisfy a linear recurrence equation. We interpret this equation as the…

Symbolic Computation · Computer Science 2013-06-19 Alexandre Benoit , Bruno Salvy

We introduce a smooth B-spline discretization in polar coordinates on the unit disc that corrects the loss of regularity present at the origin caused by the coordinate singularity in standard tensor-product B-spline formulations. The method…

The present paper provides a general formula for the dimension of spline space over T-meshes using smoothing cofactor-conformality method. And we introduce a new notion, Diagonalizable T-mesh, over which the dimension formula is only…

Algebraic Geometry · Mathematics 2012-10-22 Xin Li

In this work, we present some new integration formulas for any order of accuracy as an application of the B-spline relations obtained in [1]. The resulting rules are defined as a perturbation of the trapezoidal integration method. We prove…

Numerical Analysis · Mathematics 2024-05-21 Dionisio F. Yáñez

We present a method to compute a fitting curve B to a set of data points d0,...,dm lying on a manifold M. That curve is obtained by blending together Euclidean B\'ezier curves obtained on different tangent spaces. The method guarantees…

Information Theory · Computer Science 2018-12-12 Pierre-Yves Gousenbourger , Estelle Massart , P. -A. Absil

The extended definition of the polynomial B-splines may give a chance to improve the results obtained by the classical cubic polynomial B-splines. Determination of the optimum value of the extension parameter can be achieved by scanning…

Numerical Analysis · Mathematics 2017-02-10 Ozlem Ersoy Hepson , Alper Korkmaz , Idris Dag

Periodic splines are a special kind of splines that are defined over a set of knots over a circle and are adequate for solving interpolation problems related to closed curves. This paper presents a method of implementing the objects…

Numerical Analysis · Mathematics 2023-02-16 Hiba Nassar , Krzysztof Podgórski

We extend the concept of exponential B-spline to complex orders. This extension contains as special cases the class of exponential splines and also the class of polynomial B-splines of complex order. We derive a time domain representation…

Functional Analysis · Mathematics 2013-11-04 Peter Massopust