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Add Colab-aware Pyomo bootstrap across notebooks #30

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Initial plan
Copilot Dec 10, 2025
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feat: add colab pyomo install step
Copilot Dec 10, 2025
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19 changes: 19 additions & 0 deletions Material/Dynamic Exercises/colloc_matrix.ipynb
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Expand Up @@ -7,6 +7,25 @@
"#### Collocation Matrix"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "79e395ef",
"metadata": {
"tags": [
"colab-setup"
]
},
"outputs": [],
"source": [
"import importlib.util\n",
"import subprocess\n",
"import sys\n",
"\n",
"if \"google.colab\" in sys.modules and importlib.util.find_spec(\"pyomo\") is None:\n",
" subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"pyomo\"])\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
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19 changes: 19 additions & 0 deletions Material/Dynamic Exercises/param_est1.ipynb
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Expand Up @@ -13,6 +13,25 @@
"$$t_{f} = 6$$"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4a772ab4",
"metadata": {
"tags": [
"colab-setup"
]
},
"outputs": [],
"source": [
"import importlib.util\n",
"import subprocess\n",
"import sys\n",
"\n",
"if \"google.colab\" in sys.modules and importlib.util.find_spec(\"pyomo\") is None:\n",
" subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"pyomo\"])\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
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19 changes: 19 additions & 0 deletions Material/Dynamic Exercises/param_est2.ipynb
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Expand Up @@ -33,6 +33,25 @@
"First we simulate the kinematic behaviour"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "bee78606",
"metadata": {
"tags": [
"colab-setup"
]
},
"outputs": [],
"source": [
"import importlib.util\n",
"import subprocess\n",
"import sys\n",
"\n",
"if \"google.colab\" in sys.modules and importlib.util.find_spec(\"pyomo\") is None:\n",
" subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"pyomo\"])\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
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19 changes: 19 additions & 0 deletions Material/Dynamic Exercises/small_colloc.ipynb
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Expand Up @@ -29,6 +29,25 @@
"- Learn when collocation is most effective"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9512a2c1",
"metadata": {
"tags": [
"colab-setup"
]
},
"outputs": [],
"source": [
"import importlib.util\n",
"import subprocess\n",
"import sys\n",
"\n",
"if \"google.colab\" in sys.modules and importlib.util.find_spec(\"pyomo\") is None:\n",
" subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"pyomo\"])\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
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19 changes: 19 additions & 0 deletions Material/Dynamic Exercises/small_dae.ipynb
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Expand Up @@ -23,6 +23,25 @@
"- See discretization methods for continuous-time problems"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2638ac38",
"metadata": {
"tags": [
"colab-setup"
]
},
"outputs": [],
"source": [
"import importlib.util\n",
"import subprocess\n",
"import sys\n",
"\n",
"if \"google.colab\" in sys.modules and importlib.util.find_spec(\"pyomo\") is None:\n",
" subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"pyomo\"])\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
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19 changes: 19 additions & 0 deletions Material/Dynamic Exercises/small_findiff.ipynb
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Expand Up @@ -26,6 +26,25 @@
"- See practical implementation in Pyomo.DAE"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "54d4eded",
"metadata": {
"tags": [
"colab-setup"
]
},
"outputs": [],
"source": [
"import importlib.util\n",
"import subprocess\n",
"import sys\n",
"\n",
"if \"google.colab\" in sys.modules and importlib.util.find_spec(\"pyomo\") is None:\n",
" subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"pyomo\"])\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
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19 changes: 19 additions & 0 deletions Material/GDP Exercises/strip_packing.ipynb
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Expand Up @@ -11,6 +11,25 @@
"This is a Strip-packing example from http://minlp.org/library/lib.php?lib=GDP"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6bf6071a",
"metadata": {
"tags": [
"colab-setup"
]
},
"outputs": [],
"source": [
"import importlib.util\n",
"import subprocess\n",
"import sys\n",
"\n",
"if \"google.colab\" in sys.modules and importlib.util.find_spec(\"pyomo\") is None:\n",
" subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"pyomo\"])\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
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19 changes: 19 additions & 0 deletions Material/Nonlinear Exercises/1.1 Alternative Initialization.ipynb
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Expand Up @@ -9,6 +9,25 @@
"and numerical difficulties. Below we solve the Rosenbrock example using different initial values for the x variables. We write a loop that varies the initial value from 2.0 to 6.0, solves the problem, and prints the solution for each iteration of the loop."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8dab4cdf",
"metadata": {
"tags": [
"colab-setup"
]
},
"outputs": [],
"source": [
"import importlib.util\n",
"import subprocess\n",
"import sys\n",
"\n",
"if \"google.colab\" in sys.modules and importlib.util.find_spec(\"pyomo\") is None:\n",
" subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"pyomo\"])\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
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19 changes: 19 additions & 0 deletions Material/Nonlinear Exercises/1.2 Evaluation errors.ipynb
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Expand Up @@ -18,6 +18,25 @@
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ee65ab82",
"metadata": {
"tags": [
"colab-setup"
]
},
"outputs": [],
"source": [
"import importlib.util\n",
"import subprocess\n",
"import sys\n",
"\n",
"if \"google.colab\" in sys.modules and importlib.util.find_spec(\"pyomo\") is None:\n",
" subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"pyomo\"])\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
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19 changes: 19 additions & 0 deletions Material/Nonlinear Exercises/1.3 Alternative Formulations.ipynb
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Expand Up @@ -21,6 +21,25 @@
"$$s.t \\;\\;\\;\\; \\frac{x-1}{y} = 1$$"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5fa1815f",
"metadata": {
"tags": [
"colab-setup"
]
},
"outputs": [],
"source": [
"import importlib.util\n",
"import subprocess\n",
"import sys\n",
"\n",
"if \"google.colab\" in sys.modules and importlib.util.find_spec(\"pyomo\") is None:\n",
" subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"pyomo\"])\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
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19 changes: 19 additions & 0 deletions Material/Nonlinear Exercises/1.4 Reactor design problem.ipynb
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Expand Up @@ -32,6 +32,25 @@
"the space-velocity $SV$. "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e711e8bd",
"metadata": {
"tags": [
"colab-setup"
]
},
"outputs": [],
"source": [
"import importlib.util\n",
"import subprocess\n",
"import sys\n",
"\n",
"if \"google.colab\" in sys.modules and importlib.util.find_spec(\"pyomo\") is None:\n",
" subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"pyomo\"])\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
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19 changes: 19 additions & 0 deletions Material/Pyomo Fundamentals/1.1 Knapsack Example.ipynb
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Expand Up @@ -15,6 +15,25 @@
"- Interpret optimization results"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "db93f8d6",
"metadata": {
"tags": [
"colab-setup"
]
},
"outputs": [],
"source": [
"import importlib.util\n",
"import subprocess\n",
"import sys\n",
"\n",
"if \"google.colab\" in sys.modules and importlib.util.find_spec(\"pyomo\") is None:\n",
" subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"pyomo\"])\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
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19 changes: 19 additions & 0 deletions Material/Pyomo Fundamentals/1.2 Knapsack with improved printing.ipynb
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Expand Up @@ -15,6 +15,25 @@
"- See better formatting for solution output"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1d4b2e6b",
"metadata": {
"tags": [
"colab-setup"
]
},
"outputs": [],
"source": [
"import importlib.util\n",
"import subprocess\n",
"import sys\n",
"\n",
"if \"google.colab\" in sys.modules and importlib.util.find_spec(\"pyomo\") is None:\n",
" subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"pyomo\"])\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
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19 changes: 19 additions & 0 deletions Material/Pyomo Fundamentals/1.3 Changing data.ipynb
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Expand Up @@ -15,6 +15,25 @@
"- Explore the concept of shadow prices and breakpoints"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "38383b88",
"metadata": {
"tags": [
"colab-setup"
]
},
"outputs": [],
"source": [
"import importlib.util\n",
"import subprocess\n",
"import sys\n",
"\n",
"if \"google.colab\" in sys.modules and importlib.util.find_spec(\"pyomo\") is None:\n",
" subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"pyomo\"])\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
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19 changes: 19 additions & 0 deletions Material/Pyomo Fundamentals/1.4 Loading data from Excel.ipynb
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Expand Up @@ -15,6 +15,25 @@
"- See how to make models more flexible and reusable"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ce6c7ffc",
"metadata": {
"tags": [
"colab-setup"
]
},
"outputs": [],
"source": [
"import importlib.util\n",
"import subprocess\n",
"import sys\n",
"\n",
"if \"google.colab\" in sys.modules and importlib.util.find_spec(\"pyomo\") is None:\n",
" subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"pyomo\"])\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
Expand Down
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