wake_propΒΆ
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)