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demos/assimilating_point_data/assimilating_point_data.py.rst

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@@ -13,13 +13,12 @@ In Firedrake we represent point data as functions in the function space of zero-
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Adjoint background
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------------------
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We have a model (typically a PDE)
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We have a model given by a weak form of a PDE, given model parameters :math:`q\in M`, find :math:`u\in V` such that
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.. math::
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F(u,q)=0
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where :math:`u` is our solution, :math:`q` are the model parameters, and :math:`F` is our model, for example a PDE.
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F(u,q;v)=0\qquad\forall v\in V,
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We have a set of :math:`N` observations :math:`u_{\text{obs}}^i` at locations :math:`X_i`, for :math:`i=1,\ldots,N`.
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We want our solution field :math:`u` to match the observations at the locations :math:`X_i`, so we define a "misfit" (or "objective") functional
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