ampl#
AMPL - solve multiple models in parallel#
Description: Solve multiple AMPL models in parallel in Python with amplpy and the multiprocessing modules.
Author: Nicolau Santos (3 notebooks) <nfbvs@ampl.com>
AMPL - spreadsheet handling with amplxl#
Description: Basic example of reading/writing data into/from a .xlsx spreadsheet with amplxl
Author: Nicolau Santos (3 notebooks) <nfbvs@ampl.com>
AMPL Development Tutorial 1/6 – Capacitated Facility Location Problem#
Description: This notebook marks the beginning of a six-part series.
AMPL Development Tutorial 2/6 – Stochastic Capacitated Facility Location Problem#
Description: This notebook continues our six-part series as the second installment.
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.
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.
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.
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).
Debugging Model Infeasibility#
Description: This notebook offers a concise guide on troubleshooting model infeasibility using AMPL’s presolve feature and other language capabilities.
Introduction to Linear and Integer Programming#
Description: Basic introduction to linear programming and AMPL via a lemonade stand example
Introduction to Mathematical Optimization#
Description: Basic introduction to optimization and AMPL via unconstrained optimization
Network Linear Programs#
Description: Basic introduction to network linear programms and AMPL via max flow and shortest path problems
Optimal Power Flow with AMPL and Python - Bus Injection Model (BIM)#
Description: Optimal Power Flow
Author: Nicolau Santos (5 notebooks) <nicolau@ampl.com>
Optimal Power Flow with AMPL and Python - Bus Injection Model (BIM) with controllable-phase shifting transformers and tap-changing transformers#
Optimal Power Flow with AMPL and Python - DC Power Flow#
Description: Optimal Power Flow
Author: Nicolau Santos (5 notebooks) <nicolau@ampl.com>
Optimal Power Flow with AMPL and Python - conventional Power Flow#
Description: Optimal Power Flow
Author: Nicolau Santos (5 notebooks) <nicolau@ampl.com>
Optimal Power Flow with AMPL and Python - data management#
Description: Optimal Power Flow with AMPL, Python and amplpy
Author: Nicolau Santos (5 notebooks) <nicolau@ampl.com>
Optimization of Reinforced Concrete Production and Shipment: A Conveyor-Based Manufacturing and Curing Model#
Production Model#
Description: Basic introduction to AMPL’s indexed entities and the Pygwalker Python package via a lemonade stand example
Project management: Minimizing the cost of implementing an investment project, taking into account the costs and risks of completing tasks and penalties for late fulfillment of obligations.#
Solving simple stochastic optimization problems with AMPL#
Description: Examples of the Sample Average Approximation method and risk measures in AMPL
Author: Nicolau Santos (3 notebooks) <nfbvs@ampl.com>