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pyMOR
pymor
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68d1b44d
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68d1b44d
authored
Dec 10, 2020
by
René Fritze
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Dec 10, 2020
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[docs] releasenotes: more details on 1110 (#1219)
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docs/source/release_notes/2020.2.rst
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@@ -19,11 +19,16 @@ more details.
Release highlights
^^^^^^^^^^^^^^^^^^
Linear PDE-constrained parameter optimization
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Parameter derivatives of solutions and outputs
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
~
In `[#1110] <https://github.com/pymor/pymor/pull/1110>`_, some tools for
PDE-constrained parameter optimization were added. These include partial derivatives
of the solutions and the output with respect to the parameters.
PDE-constrained parameter optimization were added. These include parameter derivatives
of the solutions and the output of a |Model|. In particular,
:meth:`~pymor.models.interface.Model.solve_d_mu` can be used to compute partial
parameter derivatives. Moreover, :meth:`~pymor.models.interface.Model.output_d_mu`
can be used to compute the parameter gradient of the output using the
derivatives of the solutions. For a |StationaryModel| and a linear output, an
adjoint variable can instead be used to speedup the computation of the gradient, see :meth:`~pymor.models.basic.StationaryModel._compute_output_d_mu`.
Neural network reductor for non-stationary problems
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René Fritze
@r_milk01
mentioned in commit
c42a2f64
·
Dec 10, 2020
mentioned in commit
c42a2f64
mentioned in commit c42a2f64f11b244f549edf2f61557ba846ce45ef
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