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 ...
Monash University

Polynomials and power functions

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 ...
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 ...
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

Ip-DFT Based on Polynomial Interpolation and Newton-Raphson: A Multifrequency Estimation Alternative for Zero-Padding and Window Function Independence

Abstract: The need for Zero-Padding alternatives for implementing the FFT technique with the ipDFT algorithm has received few citations in the literature. In the present work, we adapted the ipDFT ...
IEEE

Relaxation of second-order matrix-valued multivariate polynomial inequalities: application to the stability analysis of linear systems with two additive time-varying delays

Abstract: This study presents a relaxation method for second-order matrix-valued multivariate polynomial inequalities(SMMPI), with a specific application to the ...