This represitory is an implementation of the paper: A Learning-Based Inexact ADMM for Solving Quadratic Programs. $$ \begin{aligned} \min_{\theta} \frac{1}{|\mathcal ...

Final Project Documentation Template Project Title: Solving quadratic equation, numerical integration Author: Narvaez Alec Haven R. Introduction This project provides two distinct functionalities: ...

Generalised estimating equations enable one to estimate regression parameters consistently in longitudinal data analysis even when the correlation structure is misspecified. However, under such ...

This paper investigates a quadratic programming problem subject to fuzzy relation inequalities with the addition-min composition operator. Three different approaches for solving the problem are ...

Abstract: Two finite-time recurrent neural network models (abbreviated as FTRNN-1 model and FTRNN-2 model) are proposed and investigated for solving quadratic minimization problem that is widely used ...

1 School of Mathematical Science, C. K. Tedam University of Technology and Applied Sciences, Navrongo, Ghana. 2 Department of Mathematics, University for Development Studies, Tamale, Ghana. In this ...

This article describes three approximation methods I used to solve the growth model (Model 1) studied by the National Bureau of Economic Research's nonlinear rational-expectations-modeling group ...

An equation of the form \(y = mx + c\) where \(m\) and \(c\) are numbers, gives a straight line when values of \(x\) and corresponding values of \(y\) are plotted on a grid. A straight line is a ...