Numerical Solution of Monge-Kantorovich Equations via a dynamic formulation

It provides a new computational approach for optimal transport problems, which are important in image processing and machine learning, but the method is incremental as it builds on existing PDE formulations.

The paper proposes a biologically inspired dynamic model for numerically solving L1-PDE based optimal transportation equations, achieving efficient solutions for the Monge-Kantorovich problem.