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Convex Physics Informed Neural Networks for the Monge-Ampère Optimal Transport Problem
Optimal transportation of raw material from suppliers to customers is an issue arising in logistics that is addressed here with a continuous model relying on optimal transport theory. A physics informed neural network method is advocated here for the solution of the corresponding generalized Monge-A
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