A method that contains either maximization or minimization of a quantity is called linear programming (LP). The goal of this research is to derive a mathematical model using Linear Programming and the ...

This repository contains solutions to various Linear Programming (LP) problems from CSC 333 - Computational Science and Numerical Methods. The solutions are provided in two formats: Hand-solved ...

It offers a graphical interface for visual understanding and also incorporates the dual method. The application allows solving both maximization and minimization problems, providing a comprehensive ...

This paper describes a linear programming (LP) approach for solving the network utility maximization problem. The developed approach is inspired by a convex relaxation technique from non-convex ...

Abstract. In this paper, we study two-stage stochastic linear programming (SLP) problems with fixed recourse. The problem is often large scale as the objective function involves an expectation over a ...

Abstract: This paper presents the way that an Index-Maximizing Linear Programming (LP) Model has been applied for dynamic reasoning in an intelligent Graphical User Interface. The graphical user ...

We present a novel sequential Monte Carlo (SMC) online expectation-maximization (EM) algorithm for estimating the static parameters of such models. The SMC online EM algorithm has a cost per time ...