https://www.selleckchem.com/pr....oducts/pyrrolidinedi
Optimal transport (OT) has become a discipline by itself that offers solutions to a wide range of theoretical problems in probability and mathematics with applications in several applied fields such as imaging sciences, machine learning, and in data sciences in general. The traditional OT problem suffers from a severe limitation its balance condition imposes that the two distributions to be compared be normalized and have the same total mass. However, it is important for many applications to be able t
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