Repository with the implementation (in Python) and description of several computational, mathematical and statistical algorithms.
1. Probabilistic Algorithms
- Generator of pseudo-random numbers
- Primality Test
- Monte-Carlo Simulation
- Metropolis-Hastings algorithm
2. Similarity Functions
- Main similarity functions
- Manual examples
- Sklearn examples
3. Chaotic Systems
- Chaotic systems intro
4. Cellular Automata
- Linear Cellular Automata (LCA)
- Reversible Linear Cellular Automata (RLCA)
conda install -c anaconda numpy
conda install -c anaconda pymc
Any kind of feedback/criticism would be greatly appreciated (algorithm design, documentation, improvement ideas, spelling mistakes, etc...).
- Created by Andrés Segura Tinoco
- Created on May 17, 2019
This project is licensed under the terms of the MIT license.