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The paper deals with two fundamental types of trigonometric polynomials and splines on uniform grids, which allow us to construct interpolation approximations that depend linearly on the values of the interpolated function. Fundamental on…

Numerical Analysis · Mathematics 2019-12-05 V. P. Denysiuk

Methods of constructing trigonometric fundamental splines with constant sign and sign-changing convergence factors are given. An example and graphics illustrating the concepts of convergence and interpolation grids are given. Some methods…

Numerical Analysis · Mathematics 2022-10-14 V. Denysiuk

A class of trigonometric interpolation splines depending on parameter vectors, selected convergence factors and interpolation factors is considered. The concept of crosslink grids and interpolation grids is introduced; these grids can match…

Numerical Analysis · Mathematics 2020-11-13 Vldimir Denysiuk

One of the possible variants of the classification of trigonometric interpolation splines is considered, depending on the chosen convergence factors, the distribution of signs of the basis functions and the interpolation factors. The…

Numerical Analysis · Mathematics 2019-10-03 V. P. Denysiuk

The method of constructing approximate solutions of the first boundary value problem for linear differential equations based on incomplete (even and odd) trigonometric splines is considered. The theoretical positions are illustrated by…

Numerical Analysis · Mathematics 2024-11-21 Volodymyr Denysiuk , Ludmila Rybachuk

The class $Ts(r,f)$ the trigonometric interpolation splines depending on the parameter vectors, selected convergence factors and interpolation factors is considered. The main properties of simple interpolation trigonometric splines are…

Numerical Analysis · Mathematics 2021-01-29 V. P. Denysiuk

Classes of simple polynomial and simple trigonometric splines given by Fourier series are considered. It is shown that the class of simple trigonometric splines includes the class of simple polynomial splines. For some parameter values, the…

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

In this study, a new form of quadratic spline is obtained, where the coefficients are determined explicitly by variational methods. Convergence is studied and parity conservation is demonstrated. Finally, the method is applied to solve…

Numerical Analysis · Mathematics 2019-06-26 A. J. Ferrari , L. P. Lara , E. A. Santillan Marcus

Differential properties for orthogonal polynomials in several variables are studied. We consider multivariate orthogonal polynomials whose gradients satisfy some quasi--orthogonality conditions. We obtain several characterizations for these…

Classical Analysis and ODEs · Mathematics 2007-05-23 M. Alvarez de Morales , L. Fernández , T. E. Pérez , M. A. Piñar

Polynomial splines are ubiquitous in the fields of computer aided geometric design and computational analysis. Splines on T-meshes, especially, have the potential to be incredibly versatile since local mesh adaptivity enables efficient…

Algebraic Geometry · Mathematics 2019-03-15 Deepesh Toshniwal , Bernard Mourrain , Thomas Hughes

In this paper, we study polynomial norms, i.e. norms that are the $d^{\text{th}}$ root of a degree-$d$ homogeneous polynomial $f$. We first show that a necessary and sufficient condition for $f^{1/d}$ to be a norm is for $f$ to be strictly…

Optimization and Control · Mathematics 2018-07-18 Amir Ali Ahmadi , Etienne de Klerk , Georgina Hall

This paper reviews a class of univariate piecewise polynomial functions known as discrete splines, which share properties analogous to the better-known class of spline functions, but where continuity in derivatives is replaced by (a…

Statistics Theory · Mathematics 2022-05-26 Ryan J. Tibshirani

Semialgebraic splines are functions that are piecewise polynomial with respect to a cell decomposition into sets defined by polynomial inequalities. We study bivariate semialgebraic splines, formulating spaces of semialgebraic splines in…

Commutative Algebra · Mathematics 2016-04-21 Michael DiPasquale , Frank Sottile , Lanyin Sun

Finite trigonometric Fourier series on a set of discrete equidistant points are considered. A finite system of orthogonal functions that have interpolation and certain differential properties on the period is introduced. Finite Fourier…

Numerical Analysis · Mathematics 2025-02-28 Volodymyr Denysiuk , Lydmila Rybachuk

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

We establish several fundamental properties of analysis-suitable T-splines which are important for design and analysis. First, we characterize T-spline spaces and prove that the space of smooth bicubic polynomials, defined over the extended…

Graphics · Computer Science 2015-05-28 Xin Li , M. A. Scott

The method of constructing spline classes in the form of trigonometric Fourier series whose coefficients have a certain decreasing order are considered. in turn, this decrement determines the number of continuous derivatives of sum of this…

Numerical Analysis · Mathematics 2019-02-22 V. Denysiuk

An example of trigonometric polynomials with extremely small uniform norm is given. This example demonstrates the potential limits for extension of Sidon's inequality for lacunary polynomials in a certain direction.

Classical Analysis and ODEs · Mathematics 2020-12-29 Pavel G. Grigoriev , Artyom O. Radomskii

Singularities of even smooth functions are studied. A classification of singular points which appear in typical parametric families of even functions with at most five parameters is given. Bifurcations of singular points near a caustic…

Differential Geometry · Mathematics 2012-12-19 E. A. Kudryavtseva , E. Lakshtanov

We present and study approximate notions of dimensional and margin complexity, which correspond to the minimal dimension or norm of an embedding required to approximate, rather then exactly represent, a given hypothesis class. We show that…

Machine Learning · Computer Science 2020-03-10 Pritish Kamath , Omar Montasser , Nathan Srebro
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