This work contains a collection of computational implementations of classical algorithms in Optimization, Machine Learning, and Linear Algebra. The project is structured as a set of independent modules, each focusing on a specific problem or class of methods.
The objective of this work is to explore and implement fundamental algorithms from different domains, emphasizing:
- Mathematical modeling
- Algorithmic problem solving
- From-scratch implementations
- Visualization of results (when applicable)
Each module is self-contained and demonstrates a specific technique or family of algorithms.
See requirements.txt for the project dependencies.