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 ...

This is a project about reading a data and determine the best fit polynomial by using polynomial regression's math. Only the foundation libraries of Python are used. The first script which has "vize" ...

Abstract: We present an automated bit-width optimization methodology for polynomial-based hardware function evaluation. Due to the analytical nature of the approach, overflow protection and precision ...

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 ...

Determine the best-fitting polynomial of degree n to the observations (x, y), under the additional constraint that some coefficients are given and fixed. p = polyfitc(x, y, n, c) where x, y, and n are ...

The conditional variance function in a heteroscedastic, nonparametric regression model is estimated by linear smoothing of squared residuals. Attention is focused on local polynomial smoothers. Both ...

Bernstein polynomial estimation provides a robust nonparametric technique for approximating both density and distribution functions. Based on the properties of Bernstein polynomials, which uniformly ...

Algorithmic complexity, a cornerstone of theoretical computer science, examines the intrinsic resource requirements of computational problems and the limits of what can be efficiently computed. Within ...

The dental maturity of 1031 healthy southern French subjects aged between 2 and 18 years was studied with dental panoramic tomograms. Demirjian's method based on seven and eight teeth has been used to ...

Abstract: Point spread function (PSF) characterizes the intensity distribution characteristics of each object point and is widely used in areas such as defocus estimation, non-blind image deblurring, ...