Nonlinear Dynamical Unbalanced Optimal Transport: Relaxation and Duality

Fuente: arXiv
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Main Authors: Wu, Dongjun, Rantzer, Anders
Format: Preprint
Published: 2025
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author Wu, Dongjun
Rantzer, Anders
author_facet Wu, Dongjun
Rantzer, Anders
contents In this paper, we introduce a generalized dynamical unbalanced optimal transport framework by incorporating limited control input and mass dissipation, addressing limitations in conventional optimal transport for control applications. We derive a convex dual of the problem using dual optimal control techniques developed before and during the 1990s, transforming the non-convex optimization into a more tractable form.At the core of this formulation is the smooth sub-solutions to an HJB equation. A first-order algorithm based on the dual formulation is proposed to solve the problem numerically.
format Preprint
id arxiv_https___arxiv_org_abs_2504_03301
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Nonlinear Dynamical Unbalanced Optimal Transport: Relaxation and Duality
Wu, Dongjun
Rantzer, Anders
Optimization and Control
In this paper, we introduce a generalized dynamical unbalanced optimal transport framework by incorporating limited control input and mass dissipation, addressing limitations in conventional optimal transport for control applications. We derive a convex dual of the problem using dual optimal control techniques developed before and during the 1990s, transforming the non-convex optimization into a more tractable form.At the core of this formulation is the smooth sub-solutions to an HJB equation. A first-order algorithm based on the dual formulation is proposed to solve the problem numerically.
title Nonlinear Dynamical Unbalanced Optimal Transport: Relaxation and Duality
topic Optimization and Control
url https://arxiv.org/abs/2504.03301