From fc4e10863d103ee6bc22863f48548fe246a3ddd6 Mon Sep 17 00:00:00 2001 From: tlacombe Date: Tue, 10 Mar 2020 18:03:21 +0100 Subject: correction of typo in the doc --- src/python/gudhi/wasserstein.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/src/python/gudhi/wasserstein.py b/src/python/gudhi/wasserstein.py index 9e4dc7d5..12337780 100644 --- a/src/python/gudhi/wasserstein.py +++ b/src/python/gudhi/wasserstein.py @@ -30,10 +30,10 @@ def _build_dist_matrix(X, Y, order=2., internal_p=2.): :param order: exponent for the Wasserstein metric. :param internal_p: Ground metric (i.e. norm L^p). :returns: (n+1) x (m+1) np.array encoding the cost matrix C. - For 1 <= i <= n, 1 <= j <= m, C[i,j] encodes the distance between X[i] and Y[j], - while C[i, m+1] (resp. C[n+1, j]) encodes the distance (to the p) between X[i] (resp Y[j]) + For 0 <= i < n, 0 <= j < m, C[i,j] encodes the distance between X[i] and Y[j], + while C[i, m] (resp. C[n, j]) encodes the distance (to the p) between X[i] (resp Y[j]) and its orthogonal proj onto the diagonal. - note also that C[n+1, m+1] = 0 (it costs nothing to move from the diagonal to the diagonal). + note also that C[n, m] = 0 (it costs nothing to move from the diagonal to the diagonal). ''' Xdiag = _proj_on_diag(X) Ydiag = _proj_on_diag(Y) -- cgit v1.2.3