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pyMOR
pymor
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2ff1ddd3
Commit
2ff1ddd3
authored
May 13, 2022
by
René Fritze
Browse files
[docs] fix a couple of noncode "builtin" > "builtin"
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70efbb1e
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docs/source/getting_started.md
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2ff1ddd3
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@@ 99,7 +99,7 @@ parameter values which maximises reduction error.
## The thermalblock demo explained
In the following we will
walk
through the thermal block demo step by
In the following we will
go
through the thermal block demo step by
step in an interactive Python shell. We assume that you are familiar
with the reduced basis method and that you know the basics of
[Python](<https://www.python.org>) programming as well as working
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docs/source/tutorial_basis_generation.md
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2ff1ddd3
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@@ 106,7 +106,7 @@ from pymor.basic import *
```
Then we build a 3by3 thermalblock problem that we discretize using pyMOR's
{mod}`builtin discretizers <pymor.discretizers.builtin>` (see
{mod}`built

in discretizers <pymor.discretizers.builtin>` (see
{doc}`tutorial_builtin_discretizer` for an introduction to pyMOR's discretization toolkit).
```
{codecell}
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@@ 187,7 +187,7 @@ fom.solution_space
which means that the created {{ VectorArrays }} will internally hold
{{ NumPy_arrays }} for data storage. The number is the dimension of the
vector. We have here a {{ NumpyVectorSpace }} because pyMOR's builtin
vector. We have here a {{ NumpyVectorSpace }} because pyMOR's built

in
discretizations are built around the NumPy/SciPy stack. If `fom` would
represent a {{ Model }} living in an external PDE solver, we would have
a different type of {{ VectorSpace }} which, for instance, might hold a
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docs/source/tutorial_mor_with_anns.md
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2ff1ddd3
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@@ 107,7 +107,7 @@ Dirichlet boundary conditions
u((x_1, x_2),
\m
u) = 2x_1
\m
u + 0.5,
\q
uad x=(x_1, x_2)
\i
n
\p
artial
\O
mega.
```
We discretize the problem using pyMOR's builtin discretization toolkit as
We discretize the problem using pyMOR's built

in discretization toolkit as
explained in {doc}`tutorial_builtin_discretizer`:
```
{codecell}
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