Abstract 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 ...

Polynomials and power functions are the foundation for modelling non-linear relationships. Polynomial functions such as quadratic, cubic and quartic model variables raised to exponents of different ...

I implemented a linear regression model and a polynomial regression model with a single input variable using gradient descent algorithm. My polynomial regression model can be used for any number of ...

Understanding Concepts of Polynomial Equations: find the topic and its importance and types. Download or read complete content here.

Distributed optimization has been proposed for parallel computing for many years. At present, many distributed algorithms are developed for solving the cooperative optimization problem of multi-agent ...

We investigate the extension of the nonparametric regression technique of local polynomial fitting with a kernel weight to generalized linear models and quasi-likelihood contexts. In the ordinary ...

Various computational problems can be reduced to computing the marginals and the partition function of a suitably defined standard factor graph (S-FG). The sum-product algorithm (SPA) is an efficient ...