commit ced7a36fa834a56c22309c88605da8ce3022db8f parent 3018ad21347bc734323db1028a032e57b687601e Author: Vincent Forest <vincent.forest@meso-star.com> Date: Wed, 6 Dec 2017 12:06:57 +0100 Fix a minor typo in Stardis Diffstat:
| M | stardis.html.in | | | 13 | +++++++------ |
1 file changed, 7 insertions(+), 6 deletions(-)
diff --git a/stardis.html.in b/stardis.html.in @@ -29,12 +29,13 @@ movies), this theoretical framework can now be practically used on the most geometrically complex models.</p> <p>Everytime the linear assumption is relevant, this theoretical framework -allows to encompass all the heat transfer mecanisms (conductive-convective- -radiative) in an <b>unified statistical model</b>. Such models can be solved by -a <b>Monte-Carlo approach</b> just by sampling <b>thermal paths</b>. This can -be seen as an extension of Monte-Carlo algorithms that solve radiative transfer -by sampling optical paths. A main property of this approach is that the -resulting algorithms does not rely on a volume mesh of the system.</p> +allows to encompass all the heat transfer mecanisms +(conductive-convective-radiative) in an <b>unified statistical model</b>. Such +models can be solved by a <b>Monte-Carlo approach</b> just by sampling +<b>thermal paths</b>. This can be seen as an extension of Monte-Carlo +algorithms that solve radiative transfer by sampling optical paths. A main +property of this approach is that the resulting algorithms does not rely on a +volume mesh of the system.</p> <h2>An example of propagator use</h2>