pyMOR Tutorials

• Tutorial: Using pyMOR’s discretization toolkit
  • A first equation without parameters
  • Defining boundary conditions
  • Another example
  • Data functions defined from pixel graphics
  • A parametric problem
  • Multiple parameters
  • Parameter-separability
• Tutorial: Building a Reduced Basis
  • Model setup
  • Computing the snapshot data
  • A trivial reduced basis
  • Strong greedy algorithm
  • Orthonormalization required
  • Proper Orthogonal Decomposition
  • Weak greedy algorithm
• Tutorial: Reducing a heat equation using balanced truncation
  • Heat equation
  • Discretized model
  • Running balanced truncation
• Tutorial: Model order reduction with artificial neural networks
  • Feedforward neural networks
  • A non-intrusive reduced order method using artificial neural networks
• Tutorial: Binding an external PDE solver to pyMOR
  • Defining the PDE solver
  • Binding the solver to Python
  • Using the exported Python classes with pyMOR
  • Putting it all together