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Titlebook: Optimal Transport; Old and New Cédric Villani Book 2009 Springer-Verlag Berlin Heidelberg 2009 Monge-Kantorovich problem.Optimal transport.

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Basic propertiesThe proof relies on basic variational arguments involving the topology of weak convergence (i.e. imposed by bounded continuous test functions).
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Cyclical monotonicity and Kantorovich dualityTo go on, we should become acquainted with two basic concepts in the theory of optimal transport. The first one is a geometric property called cyclical monotonicity; the second one is the Kantorovich dual problem, which is another face of the original Monge—Kantorovich problem. The main result in this chapter is Theorem 5.10.
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The Wasserstein distancesAssume, as before, that you are in charge of the transport of goods between producers and consumers, whose respective spatial distributions are modeled by probability measures.
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Solution of the Monge problem I: global approachIn the present chapter and the next one I shall investigate the solvability of the Monge problem for a Lagrangian cost function. Recall from Theorem 5.30 that it is sufficient to identify conditions under which the initial measure . does not see the set of points where the .-subdifferential of a .-convex function . is multivalued.
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SmoothnessThe smoothness of the optimal transport map may give information about its qualitative behavior, as well as simplify computations. So it is natural to investigate the regularity of this map.
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