  We will discuss two approaches to estimating partial derivatives and the
metric components; one utilizing past work describing a causal set $\Box$
operator, and one using a construction from linear algebra called the
Moore-Penrose inverse. After running numerical tests on a causal diamond in
$\mathbb{M}^2$, we find that the approach using the Moore-Penrose inverse is
significantly more accurate. Despite the large variances in the method using
the $\Box$ operator, there is reason to believe both approaches should become
more accurate at higher densities.
