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 ...

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 ...

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 ...

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 ...

Mapping Test Data to Ideal Functions using Interpolation and Random Forest Regression Overview This project involves mapping test data to ideal functions using interpolation and Random Forest ...

A refined GIS app offering interpolation and NDVI functionalities. It allows users to upload raster and vector data, visualize spatial information, and perform analyses. Interpolation predicts values ...

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 ...

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 ...