wake_prop
Assembly of wake propagation matrices, in sparse or dense matrices format
Note
Wake propagation matrices are very sparse. Nonetheless, allocation in dense format (from numpy.zeros) or sparse does not have important differences in terms of cpu time and memory used as numpy.zeros does not allocate memory until this is accessed
- param MS:
MultiSurface instance
- type MS:
MultiSurface
- param use_sparse:
Use sparse matrices
- type use_sparse:
bool (optional)
- param sparse_format:
Use either
csc
orlil
format- type sparse_format:
str (optional)
- param settings:
Dictionary with aerodynamic settings containing: cfl1 (bool): Defines if the wake shape complies with CFL=1 dt (float): time step
- type settings:
dict (optional)