Note: this branch is the development head of v3 of the codebase, which is currently under beta-release. The development head of v2 of the codebase is on the "v2_master" branch.
Dedalus is a flexible framework for solving partial differential equations using modern spectral methods. The code is open-source and developed by a team of researchers studying astrophysical, geophysical, and biological fluid dynamics.
Dedalus is written primarily in Python and features an easy-to-use interface with symbolic vectorial equation specification. For example, to simulate incompressible hydrodynamics in a ball, you can symbolically enter the equations, including gauge conditions and boundary conditions enforced with the tau method, as:
problem.add_equation("div(u) + tau_p = 0")
problem.add_equation("dt(u) - nu*lap(u) + grad(p) + lift(tau_u) = - u@grad(u)")
problem.add_equation("u(r=1) = 0")
problem.add_equation("integ(p) = 0")Our numerical algorithms produce sparse and spectrally accurate discretizations of PDEs on simple domains, including Cartesian domains of any dimension, disks, annuli, spheres, spherical shells, and balls:
KdV-Burgers equation (1D IVP)
Rayleigh-Benard convection (2D IVP)
Periodic shear flow (2D IVP)
Poisson equation (2D LBVP)
Librational instability (disk IVP)
Spherical shallow water (sphere IVP)
Spherical shell convection (shell IVP)
Internally heated convection (ball IVP)
The resulting systems are efficiently solved using compiled libraries and are automatically parallelized using MPI.
- Project homepage: http://dedalus-project.org
- Code repository: https://github.com/DedalusProject/dedalus
- Documentation: http://dedalus-project.readthedocs.org
- Mailing list: https://groups.google.com/forum/#!forum/dedalus-users