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

Differentiation and regularity of semi-discrete optimal transport with respect to the parameters of the discrete measure