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dorie
dorie
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8b048094
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8b048094
authored
Apr 23, 2019
by
Lukas Riedel
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Add use cases for interpolators to docs
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599b2cc8
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doc/manual/interpolators.rst
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doc/manual/interpolators.rst
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@@ -29,20 +29,31 @@ keys in the parameter file.
* ``interpolation: nearest``
Interprets dataset values as *cell values*. No extrapolation is applied.
The lowest supported dataset
ext
ensions are ``(1, 1)`` (single value
The lowest supported dataset
dim
ensions are ``(1, 1)`` (single value
everywhere).
Use this interpolator for cell-centered data like
:ref:`scaling field values <man-parameter_scaling>` and initial conditions
for a finite volume solver.
.. tip:: To provide the exact scaling factors for each cell of a grid
of :math:`1 \times 10` cells, use the ``nearest`` interpolator
with a dataset of shape ``(10, 1)`` (dimensions are inverted).
The dataset value are the function values at the cell barycenters.
.. object:: Linear interpolator
* ``interpolation: linear``
Interprets dataset values as *vertex values* and linearaly interpolates
between them. No extrapolation is applied. The lowest supported dataset
ext
ensions are ``(2, 2)`` (one value in each corner).
dim
ensions are ``(2, 2)`` (one value in each corner).
Use this interpolator if input data should be interpreted as smooth,
continuous functions like initial conditions for a DG solver.
.. tip:: To provide the initial condition for a DG solver with finite
element polynomials of order :math:`k = 1` on a grid of
:math:`1 \times 10` cells, use the ``linear`` interpolator
with a dataset of shape ``(11, 2)`` (dimensions are inverted).
The dataset values are the function values at the grid vertices.
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