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Introduction to Shape Optimization

Below are the tutorial examples originally created for the summer school "Optimization with PDE constraints". The tutorial starts with solving a simple 2D Laplace equation and after 8 easy to understand lessons finishes with a self-adjoint 2D Stokes minimum energy dissipation shape optimization solver using Taylor-Hood elements. The Python version of FEniCS is required for this tutorial.

The original code was based on a FEniCS implementation by Edwin May. It should be possible to start using this tutorial right away, otherwise the FEniCS Tutorial is also recommended.

Stokes 2D Init Stokes 2D Opt