# highlights¶

## AMPL Bin Packing Problem with GCG¶

Description: Dantzig-Wolfe decomposition for Bin Packing Problem with GCG

## AMPL Capacitated p-Median Problem with GCG¶

Description: Dantzig-Wolfe decomposition for Capacitated p-Median Problem with GCG

## AMPL Christmas Model created by ChatGPT¶

Description: Christmas model generated by ChatGPT

## AMPL Model Colaboratory Template¶

Description: Basic notebook template for the AMPL Colab repository

## Logistic Regression with amplpy¶

Description: Logistic regression with amplpy using exponential cones

## N-Queens¶

Description: How can N queens be placed on an NxN chessboard so that no two of them attack each other?

Author: Gleb Belov (7 notebooks) <gleb@ampl.com>

## Optimize your Christmas Tree to Global Optimality¶

Description: Optimize the placement of ornaments on a christmas tree.

## Quick Start using Pandas dataframes¶

Description: Quick Start using Pandas dataframes to load and retrieve data

## Quick Start using lists and dictionaries¶

Description: Quick Start using lists and dictionaries to load and retrieve data

## Robust Linear Programming with Ellipsoidal Uncertainty¶

Description: AMPL Modeling Tips #6: Robust Linear Programming

Author: Gleb Belov (7 notebooks) <gleb@ampl.com>

## Simple sudoku solver using logical constraints (with GUI)¶

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).