Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using pseudo-inverse training. Compared to other training techniques, such as stochastic gradient descent, ...

This paper describes a new algorithm for the selection of the pivot row in matrix inversion when using the product form of the inverse. This algorithm has been developed for linear programming codes; ...

This program implements the Gaussian Elimination algorithm, a fundamental method in linear algebra for solving systems of linear equations, determining matrix inverses, and calculating determinants.

Abstract: The inverted pendulum is modeled by Associated Linear Equations in its discrete version (Non-linear with Auto-Regressive inputs NARXs). Its homogeneous and particular response is evaluated ...

Quadratic functions are essential in the world of mathematics and have a wide range of applications in various fields, such as physics, engineering, and finance. An inverse function can be thought of ...

Mathematics is a fascinating world, especially when it comes to finding the inverse of a function. An inverse function is a function that undoes the action of another function – meaning, if you input ...

% This function operates the inverse linear transform on the signal xx_c. % Output: xx_mean_large: n1 * n2, original signal (HR spectrum). % Input: xx_c: n1_LR * n2_LR * L, sampling output (without ...

ABSTRACT: Over the last few years, there has been a significant increase in attention paid to fractional differential equations, given their wide array of applications in the fields of physics and ...