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Alinson S. Xavier
2024-02-07 09:17:09 -06:00
parent 702824a3b5
commit 8a02e22a35
5 changed files with 5 additions and 5 deletions
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2
docs/tutorials/getting-started-gurobipy.ipynb
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@@ -48,7 +48,7 @@
"In this tutorial, we will demonstrate how to use and install the Python/Gurobipy version of the package. The first step is to install Python 3.8+ in your computer. See the [official Python website for more instructions](https://www.python.org/downloads/). After Python is installed, we proceed to install MIPLearn using `pip`:\n",
"\n",
"```\n",
"$ pip install MIPLearn==0.3\n",
"$ pip install MIPLearn==0.4\n",
"```\n",
"\n",
"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.\n",

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docs/tutorials/getting-started-jump.ipynb
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@@ -41,7 +41,7 @@
"In this tutorial, we will demonstrate how to use and install the Python/Pyomo version of the package. The first step is to install Julia in your machine. See the [official Julia website for more instructions](https://julialang.org/downloads/). After Julia is installed, launch the Julia REPL, type `]` to enter package mode, then install MIPLearn:\n",
"\n",
"```\n",
"pkg> add MIPLearn@0.3\n",
"pkg> add MIPLearn@0.4\n",
"```"
]
},

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docs/tutorials/getting-started-pyomo.ipynb
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@@ -48,7 +48,7 @@
"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 [official Python website for more instructions](https://www.python.org/downloads/). After Python is installed, we proceed to install MIPLearn using `pip`:\n",
"\n",
"```\n",
"$ pip install MIPLearn==0.3\n",
"$ pip install MIPLearn==0.4\n",
"```\n",
"\n",
"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.\n",