open (12 notebooks)

AMPL Development Tutorial 1/6 – Capacitated Facility Location Problem

Notebooks > AMPL Development Tutorial 1/6 – Capacitated Facility Location Problem
1_floc.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
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
2_stoch_floc.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
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
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.
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
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.
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
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.
Tags: amplpy, ampl, mip, stochastic, facility-location, benders, decomposition, parallel-solves
Author: Gyorgy Matyasfalvi (15 notebooks) <gyorgy@ampl.com>

Debugging Model Infeasibility

Notebooks > 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.
Tags: amplpy, ampl, debug, infeasibility
Author: Gyorgy Matyasfalvi (15 notebooks) <gyorgy@ampl.com>

Introduction to Linear and Integer Programming

Notebooks > 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
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
intro_to_optimization.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
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>

Largest small polygon

Notebooks > 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
Tags: geometry, non-linear, amplpy, ipopt, educational
Author: Marcos Dominguez Velad (19 notebooks) <marcos@ampl.com>

Magic sequences

Notebooks > Magic sequences
magic_sequences.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Solving magic sequences through reinforced formulations and constrained programming. Some comparison between models and solvers is done, and we look into the “Another solution” problem for these sequences.
Tags: constraint-programming, educational, mp, sequences, arithmetic, reinforced-formulations, highs, gecode, cbc, mip
Author: Marcos Dominguez Velad (19 notebooks) <marcos@ampl.com>

Network Linear Programs

Notebooks > 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
Tags: ampl-lecture, amplpy, ampl, introduction, linear-programming, max-flow, shortest-path
Author: Gyorgy Matyasfalvi (15 notebooks) <gyorgy@ampl.com>

Production Model

Notebooks > 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
Tags: ampl-lecture, amplpy, ampl, introduction, linear-programming, sets, indexing, lemonade-stand
Author: Gyorgy Matyasfalvi (15 notebooks) <gyorgy@ampl.com>

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