Julie Delon

  1. Local matching indicators for transport problems with concave costs.

    Authors: Julie Delon, Julien Salomon, Andrei Sobolevskii
    Subjects: Optimization and Control
    Abstract

    In this paper, we introduce a class of indicators that enable to compute
    efficiently optimal transport plans associated to arbitrary distributions of N
    demands and M supplies in R in the case where the cost function is concave. The
    computational cost of these indicators is small and independent of N. A
    hierarchical use of them enables to obtain an efficient algorithm.

  2. Local matching indicators for concave transport costs.

    Authors: Julie Delon, Julien Salomon, A. Sobolevskii
    Subjects: Optimization and Control
    Abstract

    In this note, we introduce a class of indicators that enable to compute
    efficiently optimal transport plans associated to arbitrary distributions of
    $N$ demands and $N$ supplies in $\mathbf{R}$ in the case where the cost
    function is concave. The cost of these indicators is small and independent of
    $N$. Using them recursively according to a particular algorithm allows to find
    an optimal transport plan in less than $N^2$ evaluations of the cost function.

  3. Fast transport optimization for Monge costs on the circle.

    Authors: Julie Delon, Julien Salomon, Andrei Sobolevskii
    Subjects: Optimization and Control
    Abstract

    Consider the problem of optimally matching two measures on the circle, or
    equivalently two periodic measures on the real line, and suppose the cost of
    matching two points satisfies the Monge condition. We introduce a notion of
    locally optimal transport plan, motivated by the weak KAM (Aubry-Mather)
    theory, and show that all locally optimal transport plans are conjugate to
    shifts and that the cost of a locally optimal transport plan is a convex
    function of a shift parameter.

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