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The Erwin Schroedinger Institute for Mathematical Physics

Optimal Transport

The problem of Optimal Transport goes back to Monge in 1781: How should one transfer mass from a given initial distribution to a prescribed target distribution in such a way that the total transport cost is minimised? In modern mathematics, Optimal Transport plays a major role in developments at the interface of analysis, probability and geometry. Moreover, the field receives renewed interests by practitioners in data analysis, learning, computer graphics, and geometric modelling.
The program brings together researchers working on Optimal Transport in diverse areas, such as stochastic analysis, mathematical finance, analysis in singular spaces, geometric inequalities, gradient flows, optimal random matching, optimal transport for density matrices, numerical methods, computer vision, and machine learning. The aim of the proposed ESI programme is to establish interactions, encourage new collaborations, and identify synergies between these different disciplines.

The programme contains the following activities:

Introductory School on Optimal Transport, May 6 - 10, 2019

Workshop 1:
Optimal Transport: from Geometry to Numerics, May 13 - 17, 2019

Workshop 2:
Optimal Transport in Analysis and Probability, June 3 - 7, 2019

At a glance

Type: Thematic Programme
When: Apr 15, 2019 to
Jun 14, 2019
Where: ESI, Boltzmann Lecture Hall
Organizers: Mathias Beiglböck (U Vienna), Alessio Figalli (ETH Zürich), Jan Maas (IST Austria), Robert McCann (U Toronto), Justin Solomon (MIT, Boston)
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