highlights#

A Party Scheduling Problem with FICO Xpress#

Notebooks > A Party Scheduling Problem with FICO Xpress
party1.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: A scheduling problem for visitor-host assignments. Feasibility version (no objective function). Demonstrates high-level modeling in AMPL MP, AMPL Python API, and tuning in FICO Xpress
Tags: amplpy, mp, highlights, scheduling, assignment, feasibility-problem, tuning, xpress
Author: Gleb Belov (12 notebooks) <gleb@ampl.com>

AMPL Bin Packing Problem with GCG#

Notebooks > AMPL Bin Packing Problem with GCG
bpp.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In 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 (3 notebooks) <jurgenlentz26@gmail.com>

AMPL Capacitated p-Median Problem with GCG#

Notebooks > AMPL Capacitated p-Median Problem with GCG
cpmp.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In 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 (3 notebooks) <jurgenlentz26@gmail.com>

AMPL Christmas Model created by ChatGPT#

Notebooks > AMPL Christmas Model created by ChatGPT
christmas.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: Christmas model generated by ChatGPT
Tags: christmas, chatgpt, amplpy, highlights
Author: Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>

AMPL Model Colaboratory Template#

Notebooks > AMPL Model Colaboratory Template
colab.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: Basic notebook template for the AMPL Colab repository
Tags: amplpy, template, highlights
Author: Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>

Logistic Regression with amplpy#

Notebooks > Logistic Regression with amplpy
logistic_regression.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: Logistic regression with amplpy using exponential cones
Tags: highlights, amplpy, logistic-regression, regression, sigmoid, softplus, log-sum-exp, classifier, regularization, machine-learning, conic, exponential-cone, second-order-cone, quadratic-cone, formulation-comparison
Author: Gleb Belov (12 notebooks) <gleb@ampl.com>, Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>

Minimize the Pairwise Distance Ratio for N Points#

Notebooks > Minimize the Pairwise Distance Ratio for N Points
min_pairw_dist_ratio.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: Minimize the pairwise distance ratio of N points with FICO Xpress
Tags: amplpy, highlights, nonlinear, quadratic, global-optimization, local-optimization, trigonometric, xpress
Author: Gleb Belov (12 notebooks) <gleb@ampl.com>

Multi-Objective Knapsack Problem with AMPLPY#

Notebooks > Multi-Objective Knapsack Problem with AMPLPY
knapsack.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: knapsack problem using multiple objectives, setting objective-specific options
Tags: multi-objective, multi-objective-options, lexicographic-objectives, knapsack, amplpy, highlights
Author: Jurgen Lentz (3 notebooks) <jurgenlentz26@gmail.com>

N-Queens#

Notebooks > N-Queens
nqueens.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In 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, mp, constraint-programming, highlights
Author: Gleb Belov (12 notebooks) <gleb@ampl.com>

Optimize your Christmas Tree to Global Optimality#

Notebooks > Optimize your Christmas Tree to Global Optimality
christmas_tree.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: Optimize the placement of ornaments on a christmas tree.
Tags: christmas, amplpy, global-optimization, highlights
Author: Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>

Quick Start using Pandas dataframes#

Notebooks > Quick Start using Pandas dataframes
pandasdiet.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In 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 (16 notebooks) <fdabrandao@gmail.com>

Quick Start using lists and dictionaries#

Notebooks > Quick Start using lists and dictionaries
nativediet.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In 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 (16 notebooks) <fdabrandao@gmail.com>

Robust Linear Programming with Ellipsoidal Uncertainty#

Notebooks > Robust Linear Programming with Ellipsoidal Uncertainty
tip6_robust_linear_programming.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: AMPL Modeling Tips #6: Robust Linear Programming
Tags: highlights, modeling-tips, conic
Author: Gleb Belov (12 notebooks) <gleb@ampl.com>

Simple sudoku solver using logical constraints (with GUI)#

Notebooks > Simple sudoku solver using logical constraints (with GUI)
sudoku.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In 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).
Tags: amplpy, constraint-programming, gui, highlights
Author: Christian Valente (5 notebooks) <ccv@ampl.com>