Abstract: Dedalus solves differential equations using spectral methods. It implements flexible algorithms to solve initial-value, boundary-value, and eigenvalue problems with broad ranges of custom equations and spectral domains. Its primary features include symbolic equation entry, multidimensional parallelization, implicit-explicit timestepping, and flexible analysis with HDF5. The code is written primarily in Python and features an easy-to-use interface. The numerical algorithm produces highly sparse systems for many equations which are efficiently solved using compiled libraries and MPI.
Credit: Burns, Keaton J.; Vasil, Geoffrey M.; Oishi, Jeffrey S.; Lecoanet, Daniel; Brown, Benjamin
Preferred citation method: http://adsabs.harvard.edu/abs/2016ascl.soft03015B