PhD thesis and KryPy Python module
Oct 8, 2014 11:03 UTC
Good news! I’ve successfully defended my PhD thesis Recycling Krylov subspace methods for sequences of linear systems – analysis and applications on July 3, 2014 at TU Berlin (yey, they even classified my work as summa cum laude, which is a relic in German universities and is an ancient Latin expression meaning party hard ☺).
Since I advocate openness in academia on all levels, you can find
- the LaTeX source code of the thesis itself and
- the Python source code of all numerical experiments
in the thesis’ github repository.
KryPy – a Python module for Krylov subspace methods
A large part of my work on the PhD thesis was dedicated to the development and maintenance of KryPy. The Python module
- implements advanced versions of often used Krylov subspace methods for the solution of linear systems
- has the capability of recycling data automatically for cases where a sequence of linear systems has to be solved
- is well-documented
- is unit-tested
- supports Python 2 and Python 3
- is free software (MIT license)
Check it out and feel free to enhance the software by creating pull requests!