Tensor optimal transport, distance between sets of measures and tensor scaling

Understand

We study the optimal transport problem for $d>2$ discrete measures.

• This is a linear programming problem on $d$-tensors.
• It gives a way to compute a "distance" between two sets of discrete measures.
• We introduce an entropic regularization term, which gives rise to a scaling of tensors.