# pyMOR Tutorials¶

- Tutorial: Using pyMOR’s discretization toolkit
- Tutorial: Building a Reduced Basis
- Tutorial: Projecting a Model
- Tutorial: Linear time-invariant systems
- Tutorial: Reducing an LTI system using balanced truncation
- Tutorial: Model order reduction for unstable LTI systems
- Tutorial: Model order reduction with artificial neural networks
- Tutorial: Model order reduction for PDE-constrained optimization problems
- An elliptic model problem with a linear objective functional
- Optimizing with the FOM using finite differences
- Optimizing with the ROM using finite differences
- Computing the gradient of the objective functional
- Optimizing using a gradient in FOM
- Optimizing using a gradient in ROM
- Beyond the traditional offline/online splitting: enrich along the path of optimization
- Adaptively enriching along the path
- Conclusion and some general words about MOR methods for optimization

- Tutorial: Binding an external PDE solver to pyMOR
- Tutorial: Exploring Models interactively in a jupyter environment