A collision-based Monte Carlo algorithm approximates multi-marginal optimal transport by random pairwise index swaps, running in O(n K^2 Np) time and O(n K Np) memory.
Celebrating Cercignani's conjecture for the Boltzmann equation
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abstract
Cercignani's conjecture assumes a linear inequality between the entropy and entropy production functionals for Boltzmann's nonlinear integral operator in rarefied gas dynamics. Related to the field of logarithmic Sobolev inequalities and spectral gap inequalities, this issue has been at the core of the renewal of the mathematical theory of convergence to thermodynamical equilibrium for rarefied gases over the past decade. In this review paper, we survey the various positive and negative results which were obtained since the conjecture was proposed in the 1980s.
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Collision-based Dynamics for Multi-Marginal Optimal Transport
A collision-based Monte Carlo algorithm approximates multi-marginal optimal transport by random pairwise index swaps, running in O(n K^2 Np) time and O(n K Np) memory.