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Section Navigation

Getting Started

  • What is GAMSPy?
  • Installation and Licensing
  • Quick Start Guide
  • Examples
    • Blending Problem
    • Lumber Transportation Problem
    • Pickstock
    • Capacitated Lot-Sizing Problem
    • Transportation Problem
    • Nurses Assignment Problem
  • Model Library

Fundamentals and Usage

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

Extras

  • Frequently Asked Questions
  • GAMSPy for GAMS Users

Machine Learning

  • GAMSPy and Machine Learning
    • Matrix Operations - Introduction
    • NN Formulations (ReLU, Conv2d…)
    • Embedding a Trained Neural Network in GAMSPy
    • Regression Example
    • Binary Classification Example
    • Neural Network Example
  • User Guide
  • Advanced

Advanced#

These documents clarify concepts, design decisions, and technical constraints in GAMSPy. This is a great place to understand the fundamental GAMSPy ideas and philosophy.

  • Debugging and Performance
  • Special Features for Mathematical Programs
  • GAMS MIRO
  • Frozen Solve
  • External Equations
  • Extrinsic Functions

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