highlights#

AMPL Bin Packing Problem with GCG#

bpp.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Dantzig-Wolfe decomposition for Bin Packing Problem with GCG

AMPL Capacitated p-Median Problem with GCG#

cpmp.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Dantzig-Wolfe decomposition for Capacitated p-Median Problem with GCG

AMPL Christmas Model created by ChatGPT#

AMPL Model Colaboratory Template#

colab.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Basic notebook template for the AMPL Colab repository

Logistic Regression with amplpy#

N-Queens#

nqueens.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: How can N queens be placed on an NxN chessboard so that no two of them attack each other?

Optimize your Christmas Tree to Global Optimality#

Quick Start using Pandas dataframes#

pandasdiet.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Quick Start using Pandas dataframes to load and retrieve data

Quick Start using lists and dictionaries#

nativediet.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Quick Start using lists and dictionaries to load and retrieve data

Robust Linear Programming with Ellipsoidal Uncertainty#

tip6_robust_linear_programming.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: AMPL Modeling Tips #6: Robust Linear Programming

Simple sudoku solver using logical constraints (with GUI)#

sudoku.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Simple sudoku model with two formulations: as a Constraint Programming problem using the alldiff operator and as a MIP. Note that the CP formulation is more natural but it needs a solver supporting logical constraints or a MIP solver with automatic reformulation support (see [here](https://mp.ampl.com/) for more information).