ANL-CEEESA/MIPLearn
1
0
Fork 0
mirror of https://github.com/ANL-CEEESA/MIPLearn.git synced 2025-12-07 09:58:51 -06:00
Code Issues Packages Projects Releases Wiki Activity

Update docs

Browse Source
This commit is contained in:
Alinson S. Xavier
2024-02-07 09:15:48 -06:00
parent b3d887d38d
commit adf0baf956
12 changed files with 13 additions and 13 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
0.4/tutorials/getting-started-pyomo/index.html
View File

@@ -294,7 +294,7 @@
<li><p>Julia version, compatible with the JuMP modeling language.</p></li>
</ul>
<p>In this tutorial, we will demonstrate how to use and install the Python/Pyomo version of the package. The first step is to install Python 3.8+ in your computer. See the <a class="reference external" href="https://www.python.org/downloads/">official Python website for more instructions</a>. After Python is installed, we proceed to install MIPLearn using <code class="docutils literal notranslate"><span class="pre">pip</span></code>:</p>
<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>$ pip install MIPLearn==0.3
<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>$ pip install MIPLearn==0.4
</pre></div>
</div>
<p>In addition to MIPLearn itself, we will also install Gurobi 10.0, a state-of-the-art commercial MILP solver. This step also install a demo license for Gurobi, which should able to solve the small optimization problems in this tutorial. A license is required for solving larger-scale problems.</p>