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Control Laguerre Tessellation: Semi-discrete Optimal Transport Over Control Systems

arXiv 2607.09139 ↗First posted 10 Jul 2026math.OC cs.LG cs.MAcited by 0

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Abstract (arXiv)

We study the optimal transport of optimally controlled agents from a compactly supported absolutely continuous source to a discrete target measure. The ground cost for the transport is induced by the optimal cost of the agents' motion. When this ground cost satisfies the twist condition, the optimal transport map is given almost everywhere in terms of a Laguerre tessellation of the state space. We refer to this control-theoretic generalization of Laguerre tessellation as Control Laguerre Tessellation (CLT), and illustrate it for two ground costs induced by linear controlled agents with minimum energy and minimum time objectives.

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References · 10

  1. 2016Convergence of a Newton algorithm for semi-discrete optimal transportcited by 13
  2. 2020A Generative Model for Texture Synthesis based on Optimal Transport between Feature Distributionscited by 11
  3. 2020Prediction and Optimal Feedback Steering of Probability Density Functions for Safe Automated Drivingcited by 9
  4. 2020Optimal transport: discretization and algorithmscited by 8
  5. 2020Optimal Transport-based Coverage Control for Swarm Robot Systems: Generalization of the Voronoi Tessellation-based Methodcited by 7
  6. 2017The boundary method for semi-discrete optimal transport partitions and Wasserstein distance computationcited by 2
  7. 2020Lagrangian discretization of variational mean field gamescited by 2
  8. 2023A Controlled Mean Field Model for Chiplet Population Dynamicscited by 2
  9. 20222D Density Control of Micro-Particles using Kernel Density Estimationcited by 1
  10. 2023Solving Semi-Discrete Optimal Transport Problems: star shapedeness and Newton's methodcited by 1

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