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 ...

A curated portfolio of Optimization and Operations Research projects built during my coursework at The George Washington University. This repository showcases practical applications of linear ...

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.

Pulp, Pyomo, Scipy, and OR-tools are popular open-source modeling languages used for formulating and solving linear programming problems. They provide powerful tools for modeling and solving linear ...

Gurobi Optimization, LLC today announced the release of Gurobi 9.0, the latest version of its industry-leading mathematical programming solver.

We propose a shape model fitting algorithm that uses linear programming optimization. Most shape model fitting approaches (such as ASM, AAM) are based on gradient-descent-like local search ...

The purpose of this article is to demystify the complexity behind optimization by illustrating how it works in a case study context. The Situation The North American division of a global manufacturer ...

A Linear Programming Approach for Battery Impairment Analysis and Optimization in Decentralized Power Systems for Agricultural Operations with Solar Energy Integration Abstract: Energy system ...