Filipe Brandão (16 notebooks)#

AMPL Christmas Model created by ChatGPT#

Notebooks > AMPL Christmas Model created by ChatGPT
christmas.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Christmas model generated by ChatGPT
Tags: christmas, chatgpt, amplpy, highlights
Author: Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>

AMPL Model Colaboratory Template#

Notebooks > AMPL Model Colaboratory Template
colab.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Basic notebook template for the AMPL Colab repository
Tags: amplpy, template, highlights
Author: Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>

Diet model with Google Sheets#

Notebooks > Diet model with Google Sheets
gspread.ipynb Open In Colab
Description: Diet model using Google Sheets
Tags: amplpy, google-sheets, example
Author: Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>

Financial Portfolio Optimization with amplpy#

Notebooks > Financial Portfolio Optimization with amplpy
amplpyfinance_vs_amplpy.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Financial Portfolio Optimization with amplpy and amplpyfinance
Tags: amplpy, amplpyfinance, finance
Author: Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>

Jupyter Notebook Integration#

Notebooks > Jupyter Notebook Integration
magics.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Jupyter Notebook Integration with amplpy
Tags: amplpy, example
Author: Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>

Logistic Regression with amplpy#

Notebooks > Logistic Regression with amplpy
logistic_regression.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
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 (8 notebooks) <gleb@ampl.com>, Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>

Network design with redundancy#

Notebooks > Network design with redundancy
electric_grid_with_redundancy.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Design of an electricity transportation network provides enough redundancy, so that a break of one component does not prevent any user from receiving electricity. The approach also works for similar distribution networks and can potentially be used in the design of military logistic networks.
Tags: electric-grid, military
Author: Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>

Optimize your Christmas Tree to Global Optimality#

Notebooks > Optimize your Christmas Tree to Global Optimality
christmas_tree.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Optimize the placement of ornaments on a christmas tree.
Tags: christmas, amplpy, global-optimization, highlights
Author: Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>

Pattern Enumeration#

Notebooks > Pattern Enumeration
pattern_enumeration.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Pattern enumeration example with amplpy
Tags: amplpy, example
Author: Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>

Pattern Generation#

Notebooks > Pattern Generation
pattern_generation.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Pattern generation example with amplpy
Tags: amplpy, example
Author: Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>

Quick Start using Pandas dataframes#

Notebooks > Quick Start using Pandas dataframes
pandasdiet.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Quick Start using Pandas dataframes to load and retrieve data
Tags: amplpy, quick-start, pandas, highlights
Author: Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>

Quick Start using lists and dictionaries#

Notebooks > Quick Start using lists and dictionaries
nativediet.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Quick Start using lists and dictionaries to load and retrieve data
Tags: amplpy, quick-start, highlights
Author: Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>

Roll Cutting - Revision 1 & 2#

Notebooks > Roll Cutting - Revision 1 & 2
pattern_tradeoff.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Pattern tradeoff example with amplpy
Tags: amplpy, example
Author: Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>

Scheduling Multipurpose Batch Processes using State-Task Networks in Python#

Notebooks > Scheduling Multipurpose Batch Processes using State-Task Networks in Python
batch_processessing.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: The State-Task Network (STN) is an approach to modeling multipurpose batch process for the purpose of short term scheduling. It was first developed by Kondili, et al., in 1993, and subsequently developed and extended by others.
Tags: state-task-networks, gdp, disjunctive-programming, batch-processes, batch-processing
Author: Jeffrey C. Kantor, Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>

VPSolver: Cutting & Packing Problems#

Notebooks > VPSolver: Cutting & Packing Problems
vpsolver.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Solving cutting & packing problems using arc-flow formulations
Tags: industry, cutting-stock, bin-packing, vector-packing
Author: Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>

amplpy setup & Quick Start#

Notebooks > amplpy setup & Quick Start
quickstart.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: amplpy setup and quick start
Tags: amplpy, example
Author: Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>