Fractal interpolation functions (FIFs) represent an innovative class of methods for modelling and approximating complex data. Derived from iterated function systems, these functions enable the ...
Polynomial interpolation to analytic functions can be very accurate, depending on the distribution of the interpolation nodes. However, in equispaced nodes and the like, besides being badly ...
This chapter deals with the interpolation and approximation of functions. The interpolation includes Lagrange's interpolation polynomial, Taylor polynomials, Newton's interpolation polynomials, ...
Abstract: Most of the stereo-matching algorithms nowadays need high accuracy, especially for objects at large distances. Lots of approaches are able to provide good results at low costs, but at large ...
This project focuses on analyzing the impact of added noise on data for Lagrange and cubic spline interpolations. The provided scripts handle data processing, noise addition, and visualization of ...
Centro Universitario de la Defensa de Zaragoza Academia General Militar, Zaragoza, Spain. Departamento de Matemática Aplicada EINA, Universidad de Zaragoza, Zaragoza, Spain. Department of Mathematics, ...
ABSTRACT: The object of this short survey is to revive interest in the technique of fractal interpolation. In order to attract the attention of numerical analysts, or rather scientific community of ...
It doesn't take much to start building interpolants. import numpy as np import loewner_framework as lf import loewner_framework.linear_daes as ld Lambda = np.diag([0. ...
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