From 327f954b242cff6baecda21e8b0415ba4bf4fb49 Mon Sep 17 00:00:00 2001
From: Christophe Geuzaine <cgeuzaine@ulg.ac.be>
Date: Tue, 11 Sep 2018 08:30:00 +0200
Subject: [PATCH] up
---
onelab.html | 2 +-
optlab/optlab.html | 21 +++++++++++----------
2 files changed, 12 insertions(+), 11 deletions(-)
diff --git a/onelab.html b/onelab.html
index 5c0929c..ac91b18 100644
--- a/onelab.html
+++ b/onelab.html
@@ -73,7 +73,7 @@ or not) can be easily interfaced as well.
<ul>
<li>Desktop version: go to the <code>File/Open</code> menu and select a
GetDP <code>.pro</code> file,
- e.g. <code>models/Magnetometer/magnetometer.pro</code>
+ e.g. <code>models/Magnetometer/<a href="https://gitlab.onelab.info/doc/models/blob/master/Magnetometer/magnetometer.pro">magnetometer.pro"</a></code>
<li>Mobile version: select one of the preloaded models
</ul>
<li>Press <code>Run</code>
diff --git a/optlab/optlab.html b/optlab/optlab.html
index 7f0d7a7..b35b885 100644
--- a/optlab/optlab.html
+++ b/optlab/optlab.html
@@ -35,31 +35,32 @@
OPTLAB (OPTimization LABoratory) is a framework for formulating and solving
large-scale, nonlinear constrained optimization problems in an efficient and
portable manner. The default algorithm provided by OPTLAB is the method of
- moving asymptotes (MMA)<a href="#1"><sup>1</sup></a>, implemented for both
- shared and distributed (MPI) memory architectures
+ moving asymptotes (MMA)<a href="#1"><sup>1</sup></a>, implemented
using <a href="http://www.mcs.anl.gov/petsc">PETSc</a>.
</p>
<p>
- OPTLAB is Copyright (c) 2018, E. Kuci, C. Geuzaine and P. Duysinx, University
- of Liège.
+ OPTLAB is Copyright (c) 2018, E. Kuci, C. Geuzaine and P. Duysinx, <a href="https://www.uliege.be">University
+ of Liège</a>.
</p>
<h2>Quick start</h2>
<p>
- OPTLAB is distributed as part of the ONELAB software bundle to solve large
- scale finite element shape or topology optimization problems, using both
- direct and adjoint formulations<a href="#2"><sup>2</sup></a>. To test OPTLAB:
+ OPTLAB is distributed as part of the <a href="http://onelab.info">ONELAB</a>
+ software bundle to solve large scale finite element shape or topology
+ optimization problems, using both direct and adjoint
+ formulations<a href="#2"><sup>2</sup></a>. To test OPTLAB:
</p>
<ol>
<li>Dowload the <a href="http://onelab.info">ONELAB software bundle</a>
<li>Launch the app <img src="http://geuz.org/gmsh/gallery/icon.png" height=20px>
- <li>Open <code>tutorials/optlab/Team25/shape.py</code> or <code>tutorials/optlab/Lbracket/topo.py</code>
+ <li>Open <code>tutorials/optlab/Team25/<a href="https://gitlab.onelab.info/optlab/tutorials/blob/master/Team25/shape.py">shape.py</a></code>
+ or <code>tutorials/optlab/Lbracket/<a href="https://gitlab.onelab.info/optlab/tutorials/blob/master/Lbracket/topo.py">topo.py</a></code>
<li>Press <code>Run</code>
</ol>
<p>
- This assumes that you have a working Python installation on your computer,
- including the <code>numpy</code> package.
+ This assumes that you have a working <a href="http://python.org">Python</a> installation on your computer,
+ including the <a href="http://numpy.org">NumPy</a> package.
</p>
<h2>OPTLAB Software Development Kit</h2>
--
GitLab