Optimal Transport Methods in Economics is the first textbook on the subject written especially for students and researchers in economics. Optimal transport theory is used widely to solve problems in mathematics and some areas of the sciences, but it can also be used to understand a range of ...
Optimal Transport Methods in Economics is the first textbook on the subject written especially for students and researchers in economics. Optimal transport theory is used widely to solve problems in mathematics and some areas of the sciences, but it can also be used to understand a range of probl...
Optimal transport for applied mathematicians. Birkhauser,2015. Alfred Galichon. Optimal transport methods in economics. Princeton University Press, 2016. Cedric Villani. Topics in optimal transportation. American Mathematical Society, 2003. Cedric Villani. Optimal transport: old and new. Springer-Verlag, ...
Galichon, Alfred: Optimal transport methods in economicsNo abstract is available for this item.doi:10.1007/s00712-018-0626-0Deniz DizdarSpringerJournal of Economics
Galichon, A.: Optimal Transport Methods in Economics. Princeton University Press, Princeton (2016) Book Google Scholar Savchenko, A., Zarichnyi, M.: Correspondences of probability measures with restricted marginals. Proc. Intern. Geom. Center 7(4), 34–39 (2014) Google Scholar Villani, C....
This paper evaluates the relative strengths and weaknesses of econometric methods as applied today to appraise the proposed placement of transport corridors and the project design to distribute benefits more widely; the future potential of these methods; and an emerging synthesis in some recent studies...
Optimal transport theory has been extensively used in economics [21], transportation [22], artificial intelligence [23,24], and wireless networks [25-28]. Considering the impact of the battery capacity of unmanned aerial vehicles (UAVs) on flight time, Wang et al. [25] minimized the total ...
We regard the optimal reinsurance problem as an iterated optimal transport problem between a (known) initial and an (unknown) resulting risk exposure of the insurer. We also provide conditions that allow to characterize the support of optimal treaties, and show how this can be used to deduce th...
Uscidda, T. & Cuturi, M. The Monge gap: a regularizer to learn all transport maps. InInt. Conf. Machine Learning(ICML, 2023).This paper introduces the Monge gap, a regularizer for neural optimal transport (OT) methods that quantifies how far a mapTdeviates from the ideal properties we...
Optimal transport theory arises from a question posed in economics, and specifically, in the allocation of resources. It deals with optimizing transport modes when geographically displacing resources. Its mathematical formulation was established in the 18th century and has been well-studied since, resulti...