GAMSPy: Fast and Flexible Optimization in Python
Workshop slides introducing mathematical optimization with GAMSPy, from modeling fundamentals and solver selection to data handling and practical Python workflows.
Slides
4 resources
Embedding Neural Networks into Optimization Models with GAMSPy
Presentation slides showing how GAMSPy embeds trained neural networks into mathematical optimization models through automated reformulations.
An Introduction to Modelling with GAMSPy
Workshop slides introducing GAMSPy modeling fundamentals, design concepts, Python workflows, solver access, and migration from GAMS to GAMSPy.
A Whole New Look for CONOPT
Presentation slides covering the evolution of CONOPT, recent performance and usability improvements, new APIs, and derivative-based nonlinear optimization workflows.