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diff --git a/‎master/_downloads/85b8fb55326bd48ee7f24d0d0091c7c1/plot_outlier_detection_with_COOT_and_unbalanced_COOT.zip
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@@ -450,7 +450,7 @@ <h1>Source code for ot.gaussian</h1><div class="highlight"><pre>
 
 <span class="sd">    The function estimates the optimal barycenter of the</span>
 <span class="sd">    empirical distributions. This is equivalent to resolving the fixed point</span>
-<span class="sd">     algorithm for multiple Gaussian distributions :math:`\left{\mathcal{N}(\mu,\Sigma)\right}_{i=1}^n`</span>
+<span class="sd">    algorithm for multiple Gaussian distributions :math:`\left\{\mathcal{N}(\mu,\Sigma)\right\}_{i=1}^n`</span>
 <span class="sd">    :ref:`[1] &lt;references-OT-mapping-linear-barycenter&gt;`.</span>
 
 <span class="sd">    The barycenter still following a Gaussian distribution :math:`\mathcal{N}(\mu_b,\Sigma_b)`</span>
@@ -551,7 +551,7 @@ <h1>Source code for ot.gaussian</h1><div class="highlight"><pre>
 
 <span class="sd">    The function estimates the optimal barycenter of the</span>
 <span class="sd">    empirical distributions. This is equivalent to resolving the fixed point</span>
-<span class="sd">     algorithm for multiple Gaussian distributions :math:`\left{\mathcal{N}(\mu,\Sigma)\right}_{i=1}^n`</span>
+<span class="sd">    algorithm for multiple Gaussian distributions :math:`\left\{\mathcal{N}(\mu,\Sigma)\right\}_{i=1}^n`</span>
 <span class="sd">    :ref:`[1] &lt;references-OT-mapping-linear-barycenter&gt;`.</span>
 
 <span class="sd">    The barycenter still following a Gaussian distribution :math:`\mathcal{N}(\mu_b,\Sigma_b)`</span>