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In this work, we present a semi-discrete scheme to approximate solutions to the scalar LWR traffic model with spatially discontinuous flux, described by the equation $u_t + (k(x)u(1-u))_x = 0$. This approach is based on the…

Numerical Analysis · Mathematics 2024-12-13 Eduardo Abreu , Maria Teresa Chiri , Richard De la cruz , Juan Juajibioy , Wanderson Lambert

We establish novel quantitative stability results for optimal transport problems with respect to perturbations in the target measure. We provide explicit bounds on the stability of optimal transport potentials and maps, which are relevant…

Functional Analysis · Mathematics 2026-05-12 Octave Mischler , Dario Trevisan

We show continuity of the martingale optimal transport optimisation problem as a functional of its marginals. This is achieved via an estimate on the projection in the nested/causal Wasserstein distance of an arbitrary coupling on to the…

Probability · Mathematics 2022-06-22 Johannes Wiesel

We present a semi-Lagrangian scheme for the approximation of a class of Hamilton-Jacobi-Bellman equations on networks. The scheme is explicit and stable under some technical conditions. We prove a convergence theorem and some error…

Numerical Analysis · Mathematics 2018-04-26 Elisabetta Carlini , Adriano Festa , Nicolas Forcadel

We develop a mathematical theory of entropic regularisation of unbalanced optimal transport problems. Focusing on static formulation and relying on the formalism developed for the unregularised case, we show that unbalanced optimal…

Optimization and Control · Mathematics 2023-05-05 Maciej Buze , Manh Hong Duong

In this paper we revisit a class of optimal transport problems associated to non-autonomous linear control systems. Building on properties of the cost functions on $\mathbb{R}^{d}\times\mathbb{R}^{d}$ derived from suitable variational…

Optimization and Control · Mathematics 2025-05-26 Amit Einav , Yue Jiang , Alpár R. Mészáros

We propose new variational principles for traffic assignment problems. So to find equillibrium we have to solve large-scale convex optimization problem of special type. We propose some kind of "algebra" on different models and corresponding…

Optimization and Control · Mathematics 2017-02-28 Alexander Gasnikov

We propose a new integer programming formulation for the problem of finding a maximum stable set of a graph based on representatives of stable sets. In addition, we investigate exact solutions provided by a Lagrangian decomposition of this…

Discrete Mathematics · Computer Science 2009-03-10 Manoel Campelo , Ricardo C. Correa

This note outlines a mean-field approach to dynamic optimal transport problems based on the recently proposed McKean-Pontryagin maximum principle. Key aspects of the proposed methodology include i) avoidance of sampling over stochastic…

Optimization and Control · Mathematics 2026-04-01 Sebastian Reich

In this paper, we study the optimal transport problem induced by separable cost functions. In this framework, transportation can be expressed as the composition of two lower-dimensional movements. Through this reformulation, we prove that…

Optimization and Control · Mathematics 2021-05-18 Gennaro Auricchio

We describe a competetive equillibrium in a railway cargo transportation model. We reduce the problem of finding this equillibrium to the solution of to mutually dual convex optimization problems. According to L.V. Kantorvich we interpret…

Optimization and Control · Mathematics 2015-01-12 Alexander Shananin , Michael Vaschenko , Alexander Gasnikov , Evgeny Molchanov , Ludmila Pospelova

Optimal transportation provides a means of lifting distances between points on a geometric domain to distances between signals over the domain, expressed as probability distributions. On a graph, transportation problems can be used to…

Optimization and Control · Mathematics 2018-03-26 Montacer Essid , Justin Solomon

We study the convergence of entropically regularized optimal transport to optimal transport. The main result is concerned with the convergence of the associated optimizers and takes the form of a large deviations principle quantifying the…

Optimization and Control · Mathematics 2022-01-25 Espen Bernton , Promit Ghosal , Marcel Nutz

In this paper, we will prove a very general result of stability for perturbations of linear integrable Hamiltonian systems, and we will construct an example of instability showing that both our result and our example are optimal. Moreover,…

Dynamical Systems · Mathematics 2015-05-28 Abed Bounemoura

We present an overview of our recent work on implementable solutions to the Schroedinger bridge problem and their potential application to optimal transport and various generalizations.

Optimization and Control · Mathematics 2015-03-03 Yongxin Chen , Tryphon Georgiou , Michele Pavon

We give new computable necessary conditions for a class of optimal transportation problems to have smooth solutions.

Analysis of PDEs · Mathematics 2010-05-25 Paul W. Y. Lee

We derive limit distributions for certain empirical regularized optimal transport distances between probability distributions supported on a finite metric space and show consistency of the (naive) bootstrap. In particular, we prove that the…

Statistics Theory · Mathematics 2019-05-02 Marcel Klatt , Carla Tameling , Axel Munk

We show that Talagrand's transport inequality is equivalent to a restricted logarithmic Sobolev inequality. This result clarifies the links between these two important functional inequalities. As an application, we give the first proof of…

Probability · Mathematics 2011-04-08 Nathael Gozlan , Cyril Roberto , Paul-Marie Samson

The extended principle of minimal action is described in the presence of prescribed source and sink points. Under the assumption of zero net flux, it leads to an optimal Monge-Kantorovich transport problem of metric type. We concentrate on…

Analysis of PDEs · Mathematics 2007-05-23 G. Wolansky

Entropy regularized optimal transport and its multi-marginal generalization have attracted increasing attention in various applications, in particular due to efficient Sinkhorn-like algorithms for computing optimal transport plans. However,…

Optimization and Control · Mathematics 2023-01-25 Florian Beier , Johannes von Lindheim , Sebastian Neumayer , Gabriele Steidl