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author | Florian Kalinke <flops.ka@gmail.com> | 2020-08-30 09:10:26 +0200 |
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committer | GitHub <noreply@github.com> | 2020-08-30 09:10:26 +0200 |
commit | 55164e9272c9899ca413fca411d410ec28b736b0 (patch) | |
tree | 232277a9b7a66a0f76d1028292a195feb2677795 /docs | |
parent | a8acfc31d3b4fd478ccb8f367549d5ebabca0d5c (diff) |
Fix minor typo take #2 (#209)
As recommended in your comment.
Diffstat (limited to 'docs')
-rw-r--r-- | docs/source/quickstart.rst | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/source/quickstart.rst b/docs/source/quickstart.rst index d56f812..8d8b03f 100644 --- a/docs/source/quickstart.rst +++ b/docs/source/quickstart.rst @@ -176,7 +176,7 @@ solution of the resulting optimization problem can be expressed as: where :math:`u` and :math:`v` are vectors and :math:`K=\exp(-M/\lambda)` where the :math:`\exp` is taken component-wise. In order to solve the optimization problem, on can use an alternative projection algorithm called Sinkhorn-Knopp that can be very -efficient for large values if regularization. +efficient for large values of regularization. The Sinkhorn-Knopp algorithm is implemented in :any:`ot.sinkhorn` and :any:`ot.sinkhorn2` that return respectively the OT matrix and the value of the |