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meige-legi
scientific-computing-m2-efm
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0b2b293d
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0b2b293d
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Sep 25, 2020
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paugier
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@@ -20,3 +20,23 @@ and 7 will be dedicated to practical exercices on (3) Computation of integrals,
(5) Finite Difference methods, (6) Gradient descent and (7) Machine learning.
We will work together on your personal projects during session 8.
## Setup the environment for this course
See the file
[
install.md
](
https://gricad-gitlab.univ-grenoble-alpes.fr/meige-legi/scientific-computing-m2-efm/-/blob/master/install.md
)
.
## Clone this repository
Clone the repository with Mercurial (and the extension hg-git, as explained
`here <https://fluiddyn.readthedocs.io/en/latest/mercurial_heptapod.html>`
_):
```
hg clone https://gricad-gitlab.univ-grenoble-alpes.fr/meige-legi/scientific-computing-m2-efm.git
```
or with ssh (so you need to create a ssh key and copy the public key on ):
```
hg clone git@gricad-gitlab.univ-grenoble-alpes.fr:meige-legi/scientific-computing-m2-efm.git
```
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