Future development and purpose of the optimization-tutorial

[SimonBlanke]

There is currently a streamlit-based page, that documents the optimization algorithms of Gradient-Free-Optimizers and Hyperactive in this repository. This page is still in early development and I'll wait for improved multipage support to finish this tutorial.

However originally I wanted this streamlit-based optimization-tutorial to give api information about the optimizers and its parameters, but I will move this to a static page that is more suited for documentation.

The streamlit-based optimization-tutorial in this repository will be developed into an interactive dashboard, that focuses on visualizations to inform the user about the strengths and weaknesses of the different optimization-algorithms.

Therefore there will be two pages in the future:

1. A static documentation to look up API information. (fast and simple)
2. An interactive dashboard with plots and other visualizations. (more computationally intensive)