This repository contains all the material needed for the lecture MATLAB/Simlunik at the Corporate State University Baden Württemberg and will be updated continuously.
- What is MATLAB for (use cases)
- Basics operations, Datastructures, Scripts, Debugger
- Exercise 1
- Data visualization
- Exercise 2
- Newton-Raphson-Algorithm for root searching
- Numerical differentiation
- Linear Regression
- Gradient Descent Optimizer
- Mass-Spring-Damper 0D modelling in Matlab
- Matlabs solver for stiff ode's
- PID Controller
- Implementation in Simulink
- 2D modelling (Heatconduction)
- Simulinks S-Functions (C-Code in Simulink)
- Implementation of Runge-Kutta
- k-means algorithm
- Implementation & Visulaization
- Matlab and Python