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[MRG] docs: fix missing delimeter for left #718

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1 change: 1 addition & 0 deletions RELEASES.md
Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,7 @@
- Added feature `grad=last_step` for `ot.solvers.solve` (PR #693)
- Automatic PR labeling and release file update check (PR #704)
- Reorganize sub-module `ot/lp/__init__.py` into separate files (PR #714)
- Fix documentation in the module `ot.gaussian` (PR #718)

#### Closed issues
- Fixed `ot.mapping` solvers which depended on deprecated `cvxpy` `ECOS` solver (PR #692, Issue #668)
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4 changes: 2 additions & 2 deletions ot/gaussian.py
Original file line number Diff line number Diff line change
Expand Up @@ -354,7 +354,7 @@ def bures_wasserstein_barycenter(

The function estimates the optimal barycenter of the
empirical distributions. This is equivalent to resolving the fixed point
algorithm for multiple Gaussian distributions :math:`\left{\mathcal{N}(\mu,\Sigma)\right}_{i=1}^n`
algorithm for multiple Gaussian distributions :math:`\left\{\mathcal{N}(\mu,\Sigma)\right\}_{i=1}^n`
:ref:`[1] <references-OT-mapping-linear-barycenter>`.

The barycenter still following a Gaussian distribution :math:`\mathcal{N}(\mu_b,\Sigma_b)`
Expand Down Expand Up @@ -452,7 +452,7 @@ def empirical_bures_wasserstein_barycenter(

The function estimates the optimal barycenter of the
empirical distributions. This is equivalent to resolving the fixed point
algorithm for multiple Gaussian distributions :math:`\left{\mathcal{N}(\mu,\Sigma)\right}_{i=1}^n`
algorithm for multiple Gaussian distributions :math:`\left\{\mathcal{N}(\mu,\Sigma)\right\}_{i=1}^n`
:ref:`[1] <references-OT-mapping-linear-barycenter>`.

The barycenter still following a Gaussian distribution :math:`\mathcal{N}(\mu_b,\Sigma_b)`
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