SciCADE 2013
International Conference on Scientific Computation and Differential Equations
September 16-20, 2013, Valladolid (Spain)

Invited Talk

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Solving Optimal Transport Problems Using Python

J. Van lent

Abstract
In the eighteenth century the mathematician and engineer Gaspard Monge considered the problem of finding the best way of moving a pile of material from one site to another. This optimal transport problem has since found a wide range of applications such as mesh generation, moving mesh methods, image registration, image morphing, optical design, cartograms, probability theory and many more. In this talk, I will introduce the optimal transport problem and its links to nonlinear optimisation, nonlinear partial differential equations and linear programming. I will illustrate how to use Python and libraries for scientific computing and visualisation such as Numpy, Scipy and Matplotlib to implement and analyse numerical methods for optimal transport problems.

Organized by         Universidad de Valladolid     IMUVA