Bernstein polynomial estimation provides a robust nonparametric technique for approximating both density and distribution functions. Based on the properties of Bernstein polynomials, which uniformly ...
The original code is as old as from 1995 and was written by Gerhard Krucker (see http://www.krucker.ch/skripten-uebungen/IAMSkript/IAMKap3.pdf#page=14). So all ...
This repository provides three Python files that work together to solve problems related to function interpolation and estimating error bounds. $$\textbf{Lagrange ...
In this paper, an algebraic method which is based on the groebner bases theory is proposed to solve the polynomial functions conditional extreme. Firstly, we describe how to solve conditional extreme ...
Abstract: This paper proposes a data-driven set-based es-timation algorithm for a class of nonlinear systems with polynomial nonlinearities. Using the system's input-output data, the proposed method ...
Abstract: This article proposes a novel parametric modeling technique incorporating a joint polynomial-transfer function with neural networks (short for neuro-PTF) for electromagnetic (EM) behaviors ...
The study was conducted to estimate model parameters of Incomplete Gamma (IG) (b=1) and Inverse Polynomial ¢P) functions of a lactation curve and the models lactation yield prediction potential based ...
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