amplpy¶

AMPL - solve multiple models in parallel¶

Notebooks > AMPL - solve multiple models in parallel
    
Description: Solve multiple AMPL models in parallel in Python with amplpy and the multiprocessing modules.
Tags: ampl, python, amplpy, multiprocess, parallel-computing, stochastic-programming
Author: Nicolau Santos (3 notebooks) <nfbvs@ampl.com>

AMPL Bin Packing Problem with GCG¶

Notebooks > AMPL Bin Packing Problem with GCG
    
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¶

Notebooks > AMPL Capacitated p-Median Problem with GCG
    
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¶

Notebooks > AMPL Christmas Model created by ChatGPT
    
Description: Christmas model generated by ChatGPT
Tags: christmas, chatgpt, amplpy, highlights
Author: Filipe Brandão (15 notebooks) <fdabrandao@gmail.com>

AMPL Development Tutorial 1/6 – Capacitated Facility Location Problem¶

Notebooks > AMPL Development Tutorial 1/6 – Capacitated Facility Location Problem
    
Description: This notebook marks the beginning of a six-part series.
Tags: amplpy, ampl, mip, facility-location
Author: Gyorgy Matyasfalvi (15 notebooks) <gyorgy@ampl.com>

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

Notebooks > AMPL Development Tutorial 2/6 – Stochastic Capacitated Facility Location Problem
    
Description: This notebook continues our six-part series as the second installment.
Tags: amplpy, ampl, mip, stochastic, facility-location
Author: Gyorgy Matyasfalvi (15 notebooks) <gyorgy@ampl.com>

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

Notebooks > AMPL Development Tutorial 3/6 – Benders Decomposition via AMPL scripting
    
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.
Tags: amplpy, ampl, mip, stochastic, facility-location, benders, decomposition
Author: Gyorgy Matyasfalvi (15 notebooks) <gyorgy@ampl.com>

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

Notebooks > AMPL Development Tutorial 4/6 – Benders Decomposition via PYTHON scripting
    
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.
Tags: amplpy, ampl, mip, stochastic, facility-location, benders, decomposition
Author: Gyorgy Matyasfalvi (15 notebooks) <gyorgy@ampl.com>

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

Notebooks > AMPL Development Tutorial 5/6 – Parallelizing Subproblem Solves in Benders Decomposition
    
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.
Tags: amplpy, ampl, mip, stochastic, facility-location, benders, decomposition, parallel-solves
Author: Gyorgy Matyasfalvi (15 notebooks) <gyorgy@ampl.com>

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

Notebooks > AMPL Development Tutorial 6/6 – Implementing Benders Decomposition with *ampls*
    
Description: This concluding notebook in our six-part series delves into enhancing the efficiency of our decomposition algorithm by utilizing AMPL Solver Libraries (ampls).
Tags: amplpy, ampl, ampls, mip, stochastic, facility-location, benders
Author: Christian Valente (1 notebook) <ccv@ampl.com>, Gyorgy Matyasfalvi (15 notebooks) <gyorgy@ampl.com>

AMPL Model Colaboratory Template¶

Notebooks > AMPL Model Colaboratory Template
    
Description: Basic notebook template for the AMPL Colab repository
Tags: amplpy, template, highlights
Author: Filipe Brandão (15 notebooks) <fdabrandao@gmail.com>

Containers scheduling¶

Notebooks > Containers scheduling
    
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.
Tags: amplpy, scheduling, industry, mip, constraint-programming, mp
Author: Marcos Dominguez Velad (19 notebooks) <marcos@ampl.com>

Debugging Model Infeasibility¶

Notebooks > Debugging Model Infeasibility
    
Description: This notebook offers a concise guide on troubleshooting model infeasibility using AMPL’s presolve feature and other language capabilities.
Tags: amplpy, ampl, debug, infeasibility
Author: Gyorgy Matyasfalvi (15 notebooks) <gyorgy@ampl.com>

Diet model with Google Sheets¶

Notebooks > Diet model with Google Sheets
 
Description: Diet model using Google Sheets
Tags: amplpy, google-sheets, example
Author: Filipe Brandão (15 notebooks) <fdabrandao@gmail.com>

Dynamic routing example¶

Notebooks > Dynamic routing example
    
Description: Example of interactive optimization with GUI using AMPL and Google Maps
Tags: amplpy, gui
Author: Christian Valente (4 notebooks) <christian.valente@gmail.com>

Efficient Frontier with Google Sheets¶

Notebooks > Efficient Frontier with Google Sheets
 
Description: Efficient Frontier example using Google Sheets
Tags: amplpy, google-sheets, finance
Author: Christian Valente (4 notebooks) <christian.valente@gmail.com>

Employee Scheduling Optimization¶

Notebooks > Employee Scheduling Optimization
    
Description: Employee scheduling model from the Analytical Decision Modeling course at the Arizona State University.
Tags: educational, milp, scheduling, amplpy, gurobi, highs
Author: Yimin Wang (2 notebooks) <yimin_wang@asu.edu>, Marcos Dominguez Velad (19 notebooks) <marcos@ampl.com>

Financial Portfolio Optimization with amplpy¶

Notebooks > Financial Portfolio Optimization with amplpy
    
Description: Financial Portfolio Optimization with amplpy and amplpyfinance
Tags: amplpy, amplpyfinance, finance
Author: Filipe Brandão (15 notebooks) <fdabrandao@gmail.com>

Google Hashcode 2022¶

Notebooks > Google Hashcode 2022
    
Description: Google Hashcode 2022 Practice Problem
Tags: amplpy, heuristics, engineering, scheduling, complexity
Author: Marcos Dominguez Velad (19 notebooks) <marcos@ampl.com>

Hospitals-Residents MIP¶

Notebooks > Hospitals-Residents MIP
    
Description: hospitals-residents problem with ties problem solved with ampl and highs
Tags: amplpy, assignment, mip, data-structures, graphs
Author: Marcos Dominguez Velad (19 notebooks) <marcos@ampl.com>

Hydrothermal Scheduling Problem with Conic Programming¶

Notebooks > Hydrothermal Scheduling Problem with Conic Programming
    
Description: Hydrothermal Scheduling Problem using Second-Order Cones
Tags: amplpy, conic, second-order-cone, quadratic-cone, nonlinear-programming, scheduling, engineering, power-generation, geothermal-energy, hydropower
Author: Gleb Belov (6 notebooks) <gleb@ampl.com>

Introduction to Linear and Integer Programming¶

Notebooks > Introduction to Linear and Integer Programming
    
Description: Basic introduction to linear programming and AMPL via a lemonade stand example
Tags: ampl-lecture, amplpy, ampl, introduction, linear-programming, lemonade-stand
Author: Gyorgy Matyasfalvi (15 notebooks) <gyorgy@ampl.com>

Introduction to Mathematical Optimization¶

Notebooks > Introduction to Mathematical Optimization
    
Description: Basic introduction to optimization and AMPL via unconstrained optimization
Tags: ampl-lecture, amplpy, ampl, introduction, optimization, convexity, unconstrained
Author: Gyorgy Matyasfalvi (15 notebooks) <gyorgy@ampl.com>

Jupyter Notebook Integration¶

Notebooks > Jupyter Notebook Integration
    
Description: Jupyter Notebook Integration with amplpy
Tags: amplpy, example
Author: Filipe Brandão (15 notebooks) <fdabrandao@gmail.com>

Largest small polygon¶

Notebooks > Largest small polygon
    
Description: lecture about models for the Largest Small Polygon Problem
Tags: geometry, non-linear, amplpy, ipopt, educational
Author: Marcos Dominguez Velad (19 notebooks) <marcos@ampl.com>

Logistic Regression with amplpy¶

Notebooks > Logistic Regression with amplpy
    
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 (15 notebooks) <fdabrandao@gmail.com>

N-Queens¶

Notebooks > N-Queens
    
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>

NFL Team Rating¶

Notebooks > NFL Team Rating
    
Description: NFL Team Rating problem from the Analytical Decision Modeling course at the Arizona State University.
Tags: educational, quadratic, amplpy, gurobi
Author: Yimin Wang (2 notebooks) <yimin_wang@asu.edu>, Marcos Dominguez Velad (19 notebooks) <marcos@ampl.com>

Network Linear Programs¶

Notebooks > Network Linear Programs
    
Description: Basic introduction to network linear programms and AMPL via max flow and shortest path problems
Tags: ampl-lecture, amplpy, ampl, introduction, linear-programming, max-flow, shortest-path
Author: Gyorgy Matyasfalvi (15 notebooks) <gyorgy@ampl.com>

Optimization Methods in Finance: Chapter 3¶

Notebooks > Optimization Methods in Finance: Chapter 3
    
Description: Optimization Methods in Finance: Bond Dedication Problem.
Tags: amplpy, example, finance
Author: Marcos Dominguez Velad (19 notebooks) <marcos@ampl.com>

Optimize your Christmas Tree to Global Optimality¶

Notebooks > Optimize your Christmas Tree to Global Optimality
    
Description: Optimize the placement of ornaments on a christmas tree.
Tags: christmas, amplpy, global-optimization, highlights
Author: Filipe Brandão (15 notebooks) <fdabrandao@gmail.com>

Pattern Enumeration¶

Notebooks > Pattern Enumeration
    
Description: Pattern enumeration example with amplpy
Tags: amplpy, example
Author: Filipe Brandão (15 notebooks) <fdabrandao@gmail.com>

Pattern Generation¶

Notebooks > Pattern Generation
    
Description: Pattern generation example with amplpy
Tags: amplpy, example
Author: Filipe Brandão (15 notebooks) <fdabrandao@gmail.com>

Production Model¶

Notebooks > Production Model
    
Description: Basic introduction to AMPL’s indexed entities and the Pygwalker Python package via a lemonade stand example
Tags: ampl-lecture, amplpy, ampl, introduction, linear-programming, sets, indexing, lemonade-stand
Author: Gyorgy Matyasfalvi (15 notebooks) <gyorgy@ampl.com>

Quick Start using Pandas dataframes¶

Notebooks > Quick Start using Pandas dataframes
    
Description: Quick Start using Pandas dataframes to load and retrieve data
Tags: amplpy, quick-start, pandas, highlights
Author: Filipe Brandão (15 notebooks) <fdabrandao@gmail.com>

Quick Start using lists and dictionaries¶

Notebooks > Quick Start using lists and dictionaries
    
Description: Quick Start using lists and dictionaries to load and retrieve data
Tags: amplpy, quick-start, highlights
Author: Filipe Brandão (15 notebooks) <fdabrandao@gmail.com>

Roll Cutting - Revision 1 & 2¶

Notebooks > Roll Cutting - Revision 1 & 2
    
Description: Pattern tradeoff example with amplpy
Tags: amplpy, example
Author: Filipe Brandão (15 notebooks) <fdabrandao@gmail.com>

Simple sudoku solver using logical constraints (with GUI)¶

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

Solving simple stochastic optimization problems with AMPL¶

Notebooks > Solving simple stochastic optimization problems with AMPL
    
Description: Examples of the Sample Average Approximation method and risk measures in AMPL
Tags: ampl, amplpy, stochastic-optimization, sample-average-approximation, risk-measures
Author: Nicolau Santos (3 notebooks) <nfbvs@ampl.com>

Sudoku Generator¶

Notebooks > Sudoku Generator
    
Description: Generate Sudoku boards with unique solution via iterative method and mip formulation.
Tags: mip, heuristics, puzzles, amplpy
Author: Marcos Dominguez Velad (19 notebooks) <marcos@ampl.com>

Unit Commitment for Electrical Power Generation¶

Notebooks > Unit Commitment for Electrical Power Generation
    
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.
Tags: amplpy, energy, power-generation, unit-commitment
Author: Gyorgy Matyasfalvi (15 notebooks) <gyorgy@ampl.com>

amplpy setup & Quick Start¶

Notebooks > amplpy setup & Quick Start
    
Description: amplpy setup and quick start
Tags: amplpy, example
Author: Filipe Brandão (15 notebooks) <fdabrandao@gmail.com>

ampl-only

amplpyfinance