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
Tags: gcg, bpp, amplpy, dantzig-wolfe-decomposition, branch-price-and-cut, highlights
Author: Jurgen Lentz (2 notebooks) <jurgenlentz26@gmail.com>

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
Tags: gcg, cpmp, amplpy, dantzig-wolfe-decomposition, branch-price-and-cut, highlights
Author: Jurgen Lentz (2 notebooks) <jurgenlentz26@gmail.com>

AMPL Christmas Model created by ChatGPT

christmas.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Christmas model generated by ChatGPT
Tags: christmas, chatgpt, amplpy, highlights
Author: Filipe Brandão (14 notebooks) <fdabrandao@gmail.com>

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
Tags: amplpy, template, highlights
Author: Filipe Brandão (14 notebooks) <fdabrandao@gmail.com>

Logistic Regression with amplpy

logistic_regression.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Logistic regression with amplpy using exponential cones
Tags: highlights, amplpy, regression, sigmoid, softplus, log-sum-exp, classifier, regularization, machine-learning, conic, exponential-cone, second-order-cone, quadratic-cone, formulation-comparison
Author: Gleb Belov (6 notebooks) <gleb@ampl.com>, Filipe Brandão (14 notebooks) <fdabrandao@gmail.com>

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?
Tags: amplpy, constraint-programming, highlights
Author: Gleb Belov (6 notebooks) <gleb@ampl.com>

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
Tags: amplpy, quick-start, pandas, highlights
Author: Filipe Brandão (14 notebooks) <fdabrandao@gmail.com>

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
Tags: amplpy, quick-start, highlights
Author: Filipe Brandão (14 notebooks) <fdabrandao@gmail.com>

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
Tags: highlights, modeling-tips, conic
Author: Gleb Belov (6 notebooks) <gleb@ampl.com>

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://amplmp.readthedocs.io/) for more information).
Tags: amplpy, constraint-programming, gui, highlights
Author: Christian Valente (4 notebooks) <christian.valente@gmail.com>

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