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A systematic construction of higher order splines using two hierarchies of polynomials is presented. Explicit instructions on how to implement one of these hierarchies are given. The results are limited to interpolations on regular,…

Numerical Analysis · Computer Science 2009-05-25 Cristian Constantin Lalescu

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

The Numerical Recipes series of books are a useful resource, but all the algorithms they contain cannot be used within open-source projects. In this paper we develop drop-in alternatives to the two algorithms they present for cubic spline…

Mathematical Software · Computer Science 2020-01-28 Haysn Hornbeck

In this paper we discuss the variety of planar spiral segments and their applications in objects in both the real and artificial world. The discussed curves with monotonic curvature function are well-known in geometric modelling and…

Graphics · Computer Science 2013-05-08 Rushan Ziatdinov , Kenjiro T. Miura

This article presents a new mathematical framework to perform statistical analysis on time-indexed sequences of 2D or 3D shapes. At the core of this statistical analysis is the task of time interpolation of such data. Current models in use…

Optimization and Control · Mathematics 2010-03-23 Alain Trouvé , François-Xavier Vialard

Interpolation and smoothing using cubic and generalized splines are fundamental tools in data analysis and statistical modeling. Recently, fast computational algorithms were developed for natural $L$-splines of order four, which arise as…

Numerical Analysis · Mathematics 2026-05-21 O. Kounchev , H. Render , G. Simeonov , Ts. Tsachev

We develop a local polynomial spline interpolation scheme for arbitrary spline order on bounded intervals. Our method's local formulation, effective boundary considerations and optimal interpolation error rate make it particularly useful…

Numerical Analysis · Mathematics 2015-12-01 Maria D. van der Walt

In the classical theory of cubic interpolation splines there exists an algorithm which works with only $O\left( n\right)$ arithmetic operations. Also, the smoothing cubic splines may be computed via the algorithm of Reinsch which reduces…

Numerical Analysis · Mathematics 2022-01-03 Ognyan Kounchev , Hermann Render , Tsvetomir Tsachev

BSplines are one of the most promising curves in computer graphics. They are blessed with some superior geometric properties which make them an ideal candidate for several applications in computer aided design industry. In this article,…

Computer Vision and Pattern Recognition · Computer Science 2021-08-17 Arindam Chaudhuri

Multirate integration uses different time step sizes for different components of the solution based on the respective transient behavior. For inter/extrapolation-based multirate schemes, we construct a new subclass of schemes by using…

Numerical Analysis · Mathematics 2023-12-15 Kevin Schäfers , Andreas Bartel , Michael Günther , Christoph Hachtel

We discuss the direct use of cubic-matrix splines to obtain continuous approximations to the unique solution of matrix models of the type $Y''(x) = f(x,Y(x))$. For numerical illustration, an estimation of the approximation error, an…

Numerical Analysis · Mathematics 2007-11-20 M. M. Tung , L. Soler , E. Defez , A. Hervas

Spline interpolation has been used in several applications due to its favorable properties regarding smoothness and accuracy of the interpolant. However, when there exists a discontinuity or a steep gradient in the data, some artifacts can…

Numerical Analysis · Mathematics 2021-12-21 Francesc Aràndiga , Antonio Baeza , Dionisio F. Yáñez

Continuous spline functions are defined as piecewise polynomials on the faces of a polyhedral complex that agree on the intersections of two faces. Splines are used in approximation theory and numerical analysis, with applications in data…

Combinatorics · Mathematics 2026-01-27 Shaheen Nazir , Anne Schilling , Julianna Tymoczko

First-order stochastic methods are the state-of-the-art in large-scale machine learning optimization owing to efficient per-iteration complexity. Second-order methods, while able to provide faster convergence, have been much less explored…

Machine Learning · Statistics 2017-12-01 Naman Agarwal , Brian Bullins , Elad Hazan

The method of constructing trigonometric Hermite splines, which interpolate the values of some periodic function and its derivatives in the nodes of a uniform grid, is considered. The proposed method is based on the periodicity properties…

Numerical Analysis · Mathematics 2021-10-12 V. P. Denysiuk

In this paper, we study spline trajectory generation via the solution of two optimisation problems: (i) a quadratic program (QP) with linear equality constraints and (ii) a nonlinear and nonconvex optimisation program. We propose an…

Systems and Control · Electrical Eng. & Systems 2021-05-06 Declan Burke , Airlie Chapman , Iman Shames

This paper approximates simulation models by B-splines with a penalty on high-order finite differences of the coefficients of adjacent B-splines. The penalty prevents overfitting. The simulation output is assumed to be nonnegative. The…

Optimization and Control · Mathematics 2015-06-19 Yu Xia , Farid Alizadeh

Under consideration methods of constructing trigonometric interpolation splines of two variables on rectangular areas. These methods are easily generalized to the case of trigonometric interpolation splines of several variables on such…

Numerical Analysis · Mathematics 2022-11-22 V. Denysiuk

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

The main aim of this article is to introduce sk-splines on R^n and establish representations of cardinal sk-splines with knots and points of interpolation on the sets AZ^n, where A is an arbitrary nonsingular matrix. Such sets of points are…

Numerical Analysis · Mathematics 2018-09-25 F. Jarad , A. Kushpel , J. Levesley , K. Tas
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