  This paper aims at determining under which conditions the semi-discrete
optimal transport is twice differentiable with respect to the parameters of the
discrete measure and exhibits numerical applications. The discussion focuses on
minimal conditions on the background measure to ensure differentiability. We
provide numerical illustrations in stippling and blue noise problems.
