Unverified Commit 86aff166 authored by Tim Keil's avatar Tim Keil Committed by René Fritze

[docs] releasenotes: more details on 1110

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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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