Inverse optimisation and linear programming have emerged as crucial instruments in addressing complex decision-making problems where underlying models must be inferred from observed behaviour. At its ...

Linear semi-infinite programming (LSIP) is a branch of optimisation that focuses on problems where a finite number of decision variables is subject to infinitely many linear constraints. This ...

This project demonstrates solving a business optimization problem using linear programming techniques with Python's PuLP library. The project focuses on a production planning optimization problem.

Este proyecto forma parte de la propuesta para el Genius Arena Hackathon 2025 de Talent Land, en el track "Production Planning: Linear Programming and automation through Python" presentado por Micron.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...

To fulfill the 2 Core Courses, take two Core Courses from two different Core Areas. CSE Core Courses are classified into six areas: Introduction to CSE, Computational Mathematics, High Performance ...

Students will learn the foundations of linear programming, properties of optimal solutions and various solution methods for optimizing problems involving a linear objective function and linear ...

As the title suggests, I have a problem in which I need to formulate an LP model. I'm supposed to work in Excel and use the Solver Add-in feature.<BR><BR>I've done several other problems already, but ...

Estimation errors or uncertainities in expected return and risk measures create difficulties for portfolio optimization. The literature deals with the uncertainty using stochastic, fuzzy or ...

Co., Ltd. recently announced that its patent for "An Artificial Intelligence Optimization Method for Natural Gas Liquefaction Systems" has been authorized by the National Intellectual Property ...