fronts.r

fronts.r(o: float, t: float) float
fronts.r(o: ndarray[tuple[int, ...], dtype[floating]], t: ndarray[tuple[int, ...], dtype[floating]]) ndarray[tuple[int, ...], dtype[floating]]
fronts.r(o: float, t: ndarray[tuple[int, ...], dtype[floating]]) ndarray[tuple[int, ...], dtype[floating]]
fronts.r(o: ndarray[tuple[int, ...], dtype[floating]], t: float) ndarray[tuple[int, ...], dtype[floating]]

Transform back from the Boltzmann variable into r.

Parameters:
  • o (float or numpy.ndarray) – Value(s) of the Boltzmann variable. If an array, it must have a shape broadcastable with t.

  • t (float or numpy.ndarray) – Time(s). If an array, it must have a shape broadcastable with o. Values must not be negative.

Returns:

r – The return is a float if both o and t are floats. Otherwise it is an array of the shape that results from broadcasting o and t.

Return type:

float or numpy.ndarray

See also

o, t