A Julia implementation of the Halpern Peaceman-Rachford (HPR) method for solving linear programming (LP) problems on the GPU.

Standard computer implementations of Dantzig's simplex method for linear programming are based upon forming the inverse of the basic matrix and updating the inverse after every step of the method.

Background: To address the limitations of commonly used cross-validation methods, the linear regression method (LR) was proposed to estimate population accuracy of predictions based on the implicit ...

This project implements a basic linear genetic programming method and its advanced variants based on ECJ. The main feature of this project is that it decouples the algorithm implementations and ...

Linear programming : methods and applications by Gass, Saul I Publication date 2003 Topics Linear programming Publisher New York : Dover Publications Collection internetarchivebooks; printdisabled ...

A modern analytic method to solve singular and non-singular linear and non-linear differential equations Ahmad El-Ajou 1 Haneen Al-ghananeem 1 Rania Saadeh 2* Ahmad Qazza 2 Moa’ath N. Oqielat 1 ...

In this paper, we review previous methods for solving interval linear programming (ILP) problems. In most of these methods such as BWC, ILP, TSM, and SOM-2 methods, part of solution space is ...

This book explores management models and industrial applications of linear programming, offering insights into its practical uses and theoretical foundations.

We propose a linear programming method that is based on active-set changes and proximal-point iterations. The method solves a sequence of least-distance problems using a warm-started quadratic ...