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add Hungarian solver from optax #598

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Nov 19, 2024
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marcocuturi committed Nov 19, 2024
commit ab0139b1d249c3475a270e93efc4a903be849931
9 changes: 5 additions & 4 deletions docs/glossary.rst
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Hungarian algorithm
Combinatorial algorithm proposed by Harold Kuhn to solve the
:term:`optimal matching problem`. See the
`Wikipedia definition <https://en.wikipedia.org/wiki/Hungarian_algorithm>`_.
`Wikipedia definition <https://en.wikipedia.org/wiki/Hungarian_algorithm>`__
.

implicit differentiation
Formula used to compute the vector-Jacobian
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measurable set :math:`B`, :math:`T\#\mu(B)=\mu(T^{-1}(B))`. Intuitively,
it is the measure obtained by applying the map :math:`T` to all points
described in the support of :math:`\mu`. See also the
`Wikipedia definition <https://en.wikipedia.org/wiki/push-forward_measure>`_.
`Wikipedia definition <https://en.wikipedia.org/wiki/push-forward_measure>`__.

optimal transport
Theory that characterizes efficient transformations between probability
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:term:`ground cost` function that is equal to the optimal objective
reached when solving the :term:`Kantorovich problem`. The Wasserstein
distance is truly a distance (in the sense that it satisfies all 3
`metric axioms <https://en.wikipedia.org/wiki/Metric_space#Definition>`_
), as long as the :term:`ground cost` is itself a distance to a power
`metric axioms <https://en.wikipedia.org/wiki/Metric_space#Definition>`__
) if the :term:`ground cost` is itself a distance to a power
:math:`p\leq 1`, and the :math:`p` root of the objective of the
:term:`Kantorovich problem` is used.
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