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 ...

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 ...

Method Description for Interpolation in Python: In Python, one of the most common methods for interpolation is using the SciPy library. This library provides a comprehensive set of functions and tools ...

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 ...

Abstract: The roots from corresponded order polynomic functions is considered in the paper as the suitable method of interpolation for boundary trajectories of electron beams with high convergence ...

Journal of Computational Mathematics Vol. 20, No. 4, JULY 2002 BIVARIATE FRACTAL INTERPOLATION FUNCTIONS ON RECTANGULAR DOMAINS This is the metadata section. Skip to content viewer section. Non-tensor ...

ABSTRACT: Fractal interpolation function (FIF) is a special type of continuous function which interpolates certain data set and the attractor of the Iterated Function System (IFS) corresponding to a ...