Gyorgy Matyasfalvi (15 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>

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

Notebooks > 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).
Tags: amplpy, ampl, ampls, mip, stochastic, facility-location, benders
Author: Christian Valente (1 notebook) <ccv@ampl.com>, Gyorgy Matyasfalvi (15 notebooks) <gyorgy@ampl.com>

Capacity expansion of power generation

Notebooks > Capacity expansion of power generation
capacity_expansion.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Models the extensive form of a deterministic multi-stage capacity expansion problem. In this model we can have multiple resources of the same type which have identical properties. The model can be further developed into a stochastic one.
Tags: ampl-only, energy, planning, mip, power-generation
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>

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>

Plot feasible region

Notebooks > Plot feasible region
plot_feasible_region.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Plot the feasible region and optimal solution for a simple two variable model using AMPL’s Python API.
Tags: lecture, lp, simple
Author: Gyorgy Matyasfalvi (15 notebooks) <gyorgy@ampl.com>, Sarah Wells (1 notebook) <sarah@ampl.com>

Pricing and target-market

Notebooks > Pricing and target-market
pricing_and_target_market.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Formulate a pricing optimization and target-market problem as a MILP.
Tags: industry, pricing, milp, mip
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>

Unit Commitment for Electrical Power Generation

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

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