10_optimization_problems [youtube]
Slides and source code (LaTeX and Python) for a presentation.
- Efficient algorithm exist for many problems.
- Implementations of these algorithms are also available.
- The remaining difficulty is often having enough prior knowledge to recognize a problem.
- The LaTeX file is compiled with
xelatex.- The fonts used are Open Sans and Ubuntu Mono.
- The figures were created using matplotlib and Ipe. The rest is from Wikipedia.
- Running the Jupyter Notebook requires Python with scientific packages, e.g. the Anaconda distribution. Run it with
jupyter notebook.
.
├── 10_optimization_problems.pdf <- Presentation
├── 10_optimization_problems.tex <- Presentation source
├── figs
│ ├── 10_optimization_problems.ipynb <- Python code
│ └── <figures>
├── LICENSE
└── README.md