This repo serves as a collection of Jupyter notebooks containing implementation of classical optimization problems and some research articles. Each folder contains data, model and description for each problem. Most of the implementations are in Pyomo and use solvers on NEOS server.
The notebooks contains code for installation of required python packages and modelling/execution of the problem.