Scientific Research Publishing

Solve the Polynomial Functions Conditional Extreme by Applying the Groebner Basis Method ()

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 ...
GitHub

astellj/polynomial-regression-k-means-clustering

For the polynomial regression model, the 'Task1-dataset-pol_regression.csv' file contains a simple 1-dimensional dataset with inputs x (1 input dimension) and output y (1 output dimension). The ...
IEEE

Polynomial Lyapunov Functions and Invariant Sets from a New Hierarchy of Quadratic Lyapunov Functions for LTV Systems

Abstract: We introduce a new class of quadratic functions based on a hierarchy of linear time-varying (LTV) dynamical systems. These quadratic functions in the higher order space can be also seen as a ...
JSTOR Daily

A Fully Polynomial-Time Approximation Algorithm for Computing a Stationary Point of the General Linear Complementarity Problem

This is a preview. Log in through your library . Abstract We apply a potential reduction algorithm to solve the general linear complementarity problem (GLCP) minimize ...
IEEE

SWAG: A Novel Neural Network Architecture Leveraging Polynomial Activation Functions for Enhanced Deep Learning Efficiency

Abstract: Deep learning techniques have demonstrated significant capabilities across numerous applications, with deep neural networks (DNNs) showing promising results. However, training these networks ...