Linear Programming using Python PuLP This repository demonstrates how to use Linear programming using python package called pulp for optimization problem Examining real-world challenges reveals that ...

This paper presents a linear-programming based algorithm to perform data-driven stabilizing control of linear positive systems. A set of state-input-transition observations is collected up to ...

Welcome to the Linear Programming Solver repository! This project provides a Python implementation for solving linear programming problems using both the Big M Method and the Graphic Method.

NVIDIA's cuOpt leverages GPU technology to drastically accelerate linear programming, achieving performance up to 5,000 times faster than traditional CPU-based solutions.

This paper investigates the state-feedback and observer-based feedback control for positive cyber-physical systems. A novel positive anti-attack controller is first proposed for the systems by ...

Learn about the common challenges and limitations of linear and nonlinear programming methods and how to overcome or mitigate them for algorithm design.

The present paper deals with the problem of maximizing the ratio of two linear functions subject to a set of linear equalities and nonnegativity constraints on the variables. The problem is attacked ...

Linear programming models for media selection have limited application because the function describing the aggregate response to additional inputs of advertising effort is generally non-linear. The ...