API

cot:

assignment(W, C, eps[, seed])	This function sloves an additive approximation of the assignment problem between two discrete distributions and returns assignment plan and cost.
assignment_torch(W, C, eps, device[, seed])	This function sloves an additive approximation of the assignment problem between two discrete distributions and returns assignment plan and cost.
transport_torch(DA, SB, C, eps, device)	This function sloves the additive approximation of optimal transport problem between two discrete distributions and returns the transports plan, dual variables and total cost.
transport_lmr(DA, SB, C, eps)	This function sloves the additive approximation of optimal transport problem between two discrete distributions and returns the approximated cost based on the graph-based additive approximation algorithm [1]_ for OT.
ot_profile(DA, SB, C, eps[, p])	This function computes the approximated Optimal Transport profile (OT-Profile) [3]_ between two discrete distributions by leveraging the LMR algorithm [1]_.
rpw([DA, SB, dist, eps, k, p])	Computes the approximated Robust Partial p-Wasserstein (RPW) distance [4]_ between two discrete distributions.

Main cot functions