This project allows users to dynamically create and plot polynomial functions of varying degrees with user-defined coefficients and intercepts. The graph shows the polynomial curve along with the ...

formulas, roots of complex numbers, or graphs. The examples presented show how the methods are applied and their efficiencies. 5. Conclusions. A number of methods have been presented in the literature ...

This project is a Python application that uses a Polynomial Network to analyze and fit a polynomial to a set of data points. The application provides a GUI for users to interact with the data and the ...

Knowing your way around polynomial equations can be useful for anyone who owns a business, ... a simple example for you would be y=x 2 +x+1. ... Use a spreadsheet to graph your polynomial.

Abstract: This brief investigates distributed and adaptive estimation of streaming data based nonlinear graph filters. To begin with, a new distributed polynomial filter for nonlinear graphs is ...

Processing of signals with irregular structures is a fundamental challenge to the conventional signal processing due to the complex structures. Since most of the relationships among such data from ...

Graph Neural Networks (GNNs) exploit signals from node features and the input graph topology to improve node classification task performance. However, these models tend to perform poorly on ...