User Guide

This guide is an overview and explains the important features; details are found in API Reference.

Getting Started

• What is GAMSPy?
• Installation and Licensing
• Quick Start Guide
• Examples
• Model Library

Fundamentals and Usage

• Basics
  • Container
  • Set
  • Alias: Multiple Names for a Set
  • Parameter
  • Variable
  • Equation
  • Model
  • Expression and Indexing
  • Conditions and Assignments
  • Card and Ord
  • Lag and Lead
  • Number
• Advanced
  • Debugging
  • Performance
  • Special Features for Mathematical Programs
  • GAMS MIRO
  • Frozen Models
  • External Equations
  • Extrinsic Functions
  • Formulations
  • Control Flow Structures

Machine Learning

• GAMSPy and Machine Learning
  • Matrix Operations
  • NN Formulations (ReLU, Conv2d…)
  • Classic ML Formulations
  • Embedding a Trained Neural Network in GAMSPy
  • Complexity Overview
• Examples
  • Regression Example
  • Binary Classification Example
  • Neural Network Example
  • Auto-Thermal Reformer Example

Extras

• Frequently Asked Questions
• GAMSPy for GAMS Users
• Developer Guide