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 ...

Learn how to fit a curve to your data using a polynomial function, and how to choose the right degree, check the assumptions, evaluate the performance, and interpret the results.

In cases where the data is not linear, Polynomial Regression is used. The aim of linear regression is to find the line that passes on the two-dimensional line closest to all points. In addition, the ...

Index generation functions are a particular class ofswitching (Boolean or multiple-valued) functions that have some important applications in communication, data retrieval and processing, and related ...

Graph polynomials serve as robust algebraic encodings of the intricate combinatorial properties inherent to graphs. At the heart of this discipline lies the Tutte polynomial, an invariant that not ...

Real-World Example of Polynomial Trending Data . For example, polynomial trending would be apparent on the graph that shows the relationship between the profit of a new product and the number of ...

Here I’ll explain what these two invariants are, I’ll give you some examples, and I’ll ask for your help in understanding what the magnitude function tells us. The Tutte polynomial of a graph is old ...

We examine linear programming (LP) based relaxations for synthesizing polynomial Lyapunov functions to prove the stability of polynomial ordinary differential equations (ODEs). Our approach starts ...