amplpy

AMPL - solve multiple models in parallel

multiproc.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Solve multiple AMPL models in parallel in Python with amplpy and the multiprocessing modules.

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 Development Tutorial 1/6 – Capacitated Facility Location Problem

AMPL Development Tutorial 2/6 – Stochastic Capacitated Facility Location Problem

AMPL Development Tutorial 3/6 – Benders Decomposition via AMPL scripting

3_benders_stoch_floc.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: In this third installment of our six-part series, we continue our exploration by addressing the complexities introduced by the stochastic programming formulation presented in part two.

AMPL Development Tutorial 4/6 – Benders Decomposition via PYTHON scripting

4_benders_in_python_stoch_floc.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: In this fourth installment of our six-part series, we advance our exploration by demonstrating how to adapt our AMPL script for use with AMPL’s Python API.

AMPL Development Tutorial 5/6 – Parallelizing Subproblem Solves in Benders Decomposition

5_benders_parallel_stoch_floc.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: In the fifth installment of our six-part series, we delve deeper by showing how to evolve our Benders decomposition Python script from a serial execution to one that solves subproblems in parallel.

AMPL Development Tutorial 6/6 – Implementing Benders Decomposition with ampls

6_benders_ampls_stoch_floc.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: This concluding notebook in our six-part series delves into enhancing the efficiency of our decomposition algorithm by utilizing AMPL Solver Libraries (ampls).

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

Aircrew trainee scheduling with seniority constraints

Containers scheduling

containers_scheduling.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Scheduling model for harbor operations. It is a problem with dependences between containers, which should be dispatch the fastest possible. We are using the MP solver interfaces to model a complex system using techniques from Constraint Programming, such as indicator constraints, and logical or and forall operators. After the model is written, a couple instances are presented and Highs/Gurobi MIP solvers are used to tackle the problem.

Debugging Model Infeasibility

debug_infeas.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: This notebook offers a concise guide on troubleshooting model infeasibility using AMPL’s presolve feature and other language capabilities.

Diet model with Google Sheets

Dynamic routing example

Dynamic_routing_example.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Example of interactive optimization with GUI using AMPL and Google Maps
Tags: amplpy, gui

Efficient Frontier with Google Sheets

efficient_frontier.ipynb Open In Colab
Description: Efficient Frontier example using Google Sheets

Employee Scheduling Optimization

Employee_Scheduling.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Employee scheduling model from the Analytical Decision Modeling course at the Arizona State University.

Financial Portfolio Optimization with amplpy

amplpyfinance_vs_amplpy.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Financial Portfolio Optimization with amplpy and amplpyfinance

Google Hashcode 2022

Hospitals-Residents MIP

hospitals_residents.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: hospitals-residents problem with ties problem solved with ampl and highs

Hydrothermal Scheduling Problem with Conic Programming

Introduction to Linear and Integer Programming

intro_to_linear_prorgramming.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Basic introduction to linear programming and AMPL via a lemonade stand example

Introduction to Mathematical Optimization

intro_to_optimization.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Basic introduction to optimization and AMPL via unconstrained optimization

Jupyter Notebook Integration

magics.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Jupyter Notebook Integration with amplpy

Largest small polygon

largest_small_polygon.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: lecture about models for the Largest Small Polygon Problem

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?

NFL Team Rating

NFL_Team_Rating.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: NFL Team Rating problem from the Analytical Decision Modeling course at the Arizona State University.

Network Linear Programs

network.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Basic introduction to network linear programms and AMPL via max flow and shortest path problems

Optimization Methods in Finance: Chapter 3

finance_opt_example_3_1.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Optimization Methods in Finance: Bond Dedication Problem.

Optimize your Christmas Tree to Global Optimality

Optimizing the number of staff in a chain of stores

P-Median problem

p_median.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: this notebook states the p-median problem with a simple example, and a MIP formulation in amplpy. The problem is parametrized with a class, so it is easier to sample and replicate experiments. A graphical solution is plotted.

Pattern Enumeration

pattern_enumeration.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Pattern enumeration example with amplpy

Pattern Generation

pattern_generation.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Pattern generation example with amplpy

Production Model

production_model.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Basic introduction to AMPL’s indexed entities and the Pygwalker Python package via a lemonade stand example

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

Roll Cutting - Revision 1 & 2

pattern_tradeoff.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Pattern tradeoff example with amplpy

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).

Solving simple stochastic optimization problems with AMPL

newsvendor.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Examples of the Sample Average Approximation method and risk measures in AMPL

Sudoku Generator

sudoku_gen.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Generate Sudoku boards with unique solution via iterative method and mip formulation.

Unit Commitment for Electrical Power Generation

unit_commitment.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: This notebook illustrates the power generation problem using AMPL. The original version featured the Gurobi solver. By default, this notebook uses the HiGHS and CBC solvers.

amplpy setup & Quick Start

quickstart.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: amplpy setup and quick start