[HTML][HTML] Polynomial interpolation via mapped bases without resampling

S De Marchi, F Marchetti, E Perracchione… - Journal of Computational …, 2020 - Elsevier
In this work we propose a new method for univariate polynomial interpolation based on what
we call mapped bases. As theoretically shown, constructing the interpolating function via the …

Stable extrapolation of analytic functions

L Demanet, A Townsend - Foundations of Computational Mathematics, 2019 - Springer
This paper examines the problem of extrapolation of an analytic function for x> 1 given N+ 1
perturbed samples from an equally spaced grid on [-1, 1]. For a function f on [-1, 1] that is …

Multivariate approximation at fake nodes

S De Marchi, F Marchetti, E Perracchione… - Applied Mathematics and …, 2021 - Elsevier
The main goal of the present paper is to extend the interpolation via the so-called mapped
bases without resampling to any basis and dimension. So far indeed, we investigated the …

Infinite-Dimensional Minimization and Function Approximation from Pointwise Data

B Adcock - Constructive Approximation, 2017 - Springer
We consider the problem of approximating a smooth function from finitely many pointwise
samples using ℓ^ 1 ℓ 1 minimization techniques. In the first part of this paper, we introduce …

A Lagrange interpolation with preprocessing to nearly eliminate oscillations

B de la Calle Ysern, P Galán del Sastre - Numerical Algorithms, 2024 - Springer
This work is concerned with the interpolation of a function f when using a low number of
interpolation points, as required by the finite element method for solving PDEs numerically …

Polynomial Interpolation of Function Averages on Interval Segments

LB Bruno, W Erb - arXiv preprint arXiv:2309.00328, 2023 - arxiv.org
Motivated by polynomial approximations of differential forms, we study analytical and
numerical properties of a polynomial interpolation problem that relies on function averages …

Stable discontinuous mapped bases: the gibbs–runge-avoiding stable polynomial approximation (GRASPA) method

S De Marchi, G Elefante, F Marchetti - Computational and Applied …, 2021 - Springer
The mapped bases or Fake Nodes Approach (FNA), introduced in De Marchi et al.(J Comput
Appl Math 364: 112347, 2020c), allows to change the set of nodes without the need of …

Optimal sampling rates for approximating analytic functions from pointwise samples

B Adcock, RB Platte, A Shadrin - IMA Journal of Numerical …, 2019 - academic.oup.com
We consider the problem of approximating an analytic function on a compact interval from its
values at distinct points. When the points are equispaced, a recent result (the so-called …

On (β, γ)-Chebyshev functions and points of the interval

S De Marchi, G Elefante, F Marchetti - Journal of Approximation Theory, 2021 - Elsevier
In this paper, we introduce the class of (β, γ)-Chebyshev functions and corresponding points,
which can be seen as a family of generalized Chebyshev polynomials and points. For the (β …

Fast and stable approximation of analytic functions from equispaced samples via polynomial frames

B Adcock, A Shadrin - Constructive Approximation, 2023 - Springer
We consider approximating analytic functions on the interval [-1, 1] from their values at a set
of m+ 1 equispaced nodes. A result of Platte, Trefethen & Kuijlaars states that fast and stable …