Eigentools is a set of tools for studying linear eigenvalue problems. The underlying eigenproblems are solved using Dedalus, which provides a domain-specific language for partial differential equations. Each entry in the following list of features links to a Jupyter notebook giving an example of its use.
The core development team consists of
Eigentools was developed with support from the Research Corporation under award Scialog Collaborative Award (TDA) ID# 24231.