This repository contains a simple implementation of a linear programming solver, in particular for the primal and dual simplex method in tableau form and the application of Gomory's cut in case of ...

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 ...

In this paper, we present the results of a new approach to the splitting factor preconditioner, which is a preconditioner based on the Incomplete Cholesky factorization and the splitting ...

When I was reporting my ed tech series, I stumbled on one of the most disturbing things I’ve read in years about how technology might interfere with human connection: an article on the website of the ...

Abstract: A new implementation of the Simplex method for solving linear programming problems is developed, and its application for solving MPC problems with linear objective functions is described. A ...

1 Department of Mathematics, Faculty of Science, Al Balqa Applied University, Salt, Jordan 2 Department of Mathematics, Faculty of Science, Zarqa University, Zarqa, Jordan This article circumvents the ...

The op_research package is a Python library for solving linear programming problems using the simplex algorithm. It provides a high-level interface for formulating and solving optimization ...

Many practical problems can be formulated using integer programming. An Integer Linear Program (ILP) can be written as (1). In Richard et al. (2003), the authors present a simplex-based algorithm for ...

Abstract: The aim of this paper is to introduce a formulation of linear programming problems involving triangular intuitionistic fuzzy numbers for the objecive coefficient. We propose a new method for ...