AMPL Model Colaboratory¶
Introduction¶
AMPL Model Colaboratory is a collection of AMPL models in Jupyter Notebooks that run on platforms such as Google Colab, Kaggle, Gradient, and AWS SageMaker.
In order to be use AMPL on these platforms you just need to following two code blocks at the beginning of your notebook:
# Install dependencies
!pip install -q amplpy
# Google Colab & Kaggle integration
MODULES=['ampl', 'coin', 'highs', 'gokestrel']
from amplpy import tools
ampl = tools.ampl_notebook(modules=MODULES, globals_=globals()) # instantiate AMPL object and register magics
In the list MODULES you can specify the AMPL solvers you want to use in your notebook.
As a quick-start you can use our template notebook: template.
You can contribute to this repository by making pull requests to https://github.com/ampl/amplcolab and following the instructions in the README file.
Note
In these notebooks there are %%ampl_eval cells that allow you to run AMPL code directly from the notebook.
They are equivalent to ampl.eval("""cell content""").
Warning
Some notebooks require commercial solvers. You can use a free AMPL Community
Edition license with an open-source solver (e.g., HiGHS, CBC, Couenne, Ipopt, Bonmin)
or with a commercial solver from the NEOS Server as described in <https://dev.ampl.com/solvers/kestrel.html>.
In the list MODULES you need to include
"gokestrel" to use the kestrel driver;
"highs" for the HiGHS solver;
"coin" for the COIN-OR solvers.
To use other commercial solvers without NEOS, your license needs to include the commercial solver.
Main categories¶
Notebooks¶
AMPL Model Colaboratory Template¶
Book Example: Economic equilibria¶
Book Example: Transshipment problem¶
Book Example: diet¶
Book Example: prod¶
Book Example: steel¶
Book Example: transp¶
CP-style scheduling model with the numberof operator, solved by a MIP solver¶
Capacity expansion of power generation¶
Diet lecture¶
Diet model with Google Sheets¶
Efficient Frontier with Google Sheets¶
Financial Portfolio Optimization with amplpy¶
Google Hashcode 2022¶
Hospitals-Residents MIP¶
Jupyter Notebook Integration¶
Multicommodity transportation problem¶
Network design with redundancy¶
Nonlinear transportation model¶
Nonlinear transportation problem example¶
Optimization Methods in Finance: Chapter 3¶
Pattern Enumeration¶
Pattern Generation¶
Pricing and target-market¶
Production model¶
Roll Cutting - Revision 1 & 2¶
Simple sudoku solver using logical constraints (with GUI)¶
Solving a nonogram puzzle¶
Steel industry problem¶
Transportation problem¶
Travelling Salesman Problem with subtour elimination¶
VPSolver: Cutting & Packing Problems¶
amplpy setup & Quick Start¶
Tag list¶
- Tags
- ampl-book
- ampl-lecture
- ampl-only
- amplpy
- amplpyfinance
- assignment
- bin-packing
- callbacks
- complementarity_problem
- complexity
- constraint-programming
- cutting-stock
- data-structures
- electric-grid
- engineering
- example
- finance
- google-sheets
- graphs
- gui
- heuristics
- industry
- military
- milp
- mip
- mixed-integer-linear
- nonlinear
- planning
- power-generation
- pricing
- scheduling
- template
- tsp
- vector-packing