Slides and notebooks for my tutorial at PyData London 2018
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Updated
Jul 2, 2018 - Jupyter Notebook
Slides and notebooks for my tutorial at PyData London 2018
Optimization Models and Algorithms
Solved Example Notebooks for Operations Research Problems
This notebook serves as an introduction to Linear Programming and MILP with Python, covering both the concepts and practical applications through various popular optimization problems.
Optimization notebooks
A web notebook for exploring operations research problems
Notebooks with examples to be presented at Modelica 15 in October 2023
This repository holds the Jupyter notebooks coded throughout the Optimization course at Los Andes University, 2024-1 Semester. Notebooks include topics related to Linear Programming, Convex Optimization, and Transportation/Graph Algorithms.
Jupyter Notebook Files Written in Python using the PuLP Library. LaTex Used for Mathematical Description.
A small project to using the AMPL modeling language to formulate, CPLEX to solve, and Python to visualize mixed-integer linear programs for several envy-free fair division problems. Includes a full research paper and a Jupyter notebook with the results datasets and visualizations.
Python script that optimises the overall rating of a Fifa 19 team given constraints using linear programming. Presented in Jupyter Notebook.
🧮 🔢 ➕ Projects based in Introduction to Operational Research Labs. This projects was built using Jupyter Notebook, iPython, Python, Anaconda, Spyder IDE, JetBrains PyCharm and MATLAB. This repository it's based in some practical lab exercises and examples related with Introduction to Operational Research, using some software and libraries like M…
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