# 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>

## 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

## Production Model¶

Description: Basic introduction to AMPL’s indexed entities and the Pygwalker Python package via a lemonade stand example

## 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>

## Stochastic Capacitated Facility Location Problem¶

Description: This notebook illustrates modeling a stochastic facility location problem using a mixed-integer programming approach. Facility location decisions are pivotal, typically requiring substantial investments that have far-reaching social, economic, and environmental consequences.