It's better to interpret $\tan^{-1}$ as an inverse operator.
First of all, for a bijective (or one-to-one correspondence) function $f(x)$.
We have
$$f^{-1}(f(x)) \equiv (f^{-1} \circ f) (x) \equiv x \\$$
$$f(f^{-1}(x)) \equiv (f \circ f^{-1}) (x) \equiv x \\$$
May see more on function composition.
Secondly, for an invertible (non-singular) matrix $\boldsymbol{A}$:
$$\boldsymbol{Ax=b} \iff \boldsymbol{x=A}^{-1}\boldsymbol{b}$$
We seldom write $$\boldsymbol{x=\frac{b}{A}}$$
though we sometimes write a Jacobian matrix as$$\boldsymbol{J}=\frac{\partial \boldsymbol{f}}{\partial \boldsymbol{x}} \\$$
Thirdly, Fourier Transformation and its inverse transformation:
$$\mathcal{F}[f(x)]=F(\omega) \iff \mathcal{F}^{-1}[F(\omega)]=f(x) \\$$
Of course, some operations are many-to-one:
For example,
$$\theta=\sin^{-1} x \implies x=\sin \theta$$
but $$y=\sin \phi \implies \phi=n\pi+(-1)^{n} \sin^{-1} y$$
in which $\sin^{-1}$ refers to the principal value and $n\in \mathbb{Z}$.
Also derivative and its antiderivative,
if
$$\frac{dF(x)}{dx}=f(x)$$
then $$\int f(x) dx = F(x)+C$$