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We derive an a priori parameter range for overrelaxation of the Sinkhornalgorithm, which guarantees global convergence and a strictly faster asymptoticlocal convergence. Guided by the spectral analysis of the linearized problem wepursue a zero cost procedure to choose a near optimal relaxation parameter.

A note on overrelaxation in the Sinkhorn algorithm