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 ...
"For this, we'll try to model a polynomial distribution of one single variable, by taking a number of samples from it. We start by generating these samples and showing you the true distribution - see ...
This repository contains Python code for performing polynomial regression using gradient descent, implemented with PyTorch, as required for Assignment 1. The code provides functions for polynomial ...
Abstract: The problem of asymptotic state reconstruction of systems characterized by nonlinear state-output maps is investigated in this paper. The approach here presented is based on the ...
In this paper D-optimal designs for the weighted polynomial regression model of degree p with efficiency function (1 + x 2)-n are presented. Interest in these designs stems from the fact that they are ...
1 Department of Statistics, College of Arts and Science, University of Benghazi, Benghazi, Libya. 2 Department of Mathematics, College Arts and Science, University of Benghazi, Benghazi, Libya. 3 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback