aerosandbox.modeling.black_box#

Module Contents#

Functions#

black_box(function[, n_in, n_out, fd_method, fd_step, ...])

Wraps a function as a black box, allowing it to be used in AeroSandbox / CasADi optimization problems.

my_func(a1, a2[, k1, k2, k3])

aerosandbox.modeling.black_box.black_box(function, n_in=None, n_out=1, fd_method='central', fd_step=None, fd_step_iter=None)[source]#

Wraps a function as a black box, allowing it to be used in AeroSandbox / CasADi optimization problems.

Obtains gradients via finite differences. Assumes that the function’s Jacobian is fully dense, always.

Parameters:

  • function (Callable[[Any], float]) –

  • n_in (int) –

  • n_out (int) –

  • fd_method (str) – One of: - ‘forward’ - ‘backward’ - ‘central’ - ‘smoothed’

  • fd_step (Optional[float]) –

  • fd_step_iter (Optional[bool]) –

Return type:

Callable[[Any], float]

Returns:

aerosandbox.modeling.black_box.my_func(a1, a2, k1=4, k2=5, k3=6)[source]#