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2018

Constrained dynamical optimal transport and its Lagrangian formulation

Li, Wuchen, Osher, Stanley

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We propose dynamical optimal transport (OT) problems constrained in a parameterized probability subset.

In application problems such as deep learning, the probability distribution is often generated by a parameterized mapping function.
In this case, we derive a simple formulation for the constrained dynamical OT.

Constrained dynamical optimal transport and its Lagrangian formulation · Around

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