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: