As we enter the final weeks of 2025, a time of reflection and gratitude, we have something truly special to celebrate – 40 years of AMPL! Read about our interviews of reflective conversations with founders Bob Fourer, David Gay, and Brian Kernighan, joined by AMPL CEO Bill Wells and Head of Development, Filipe Brandao.
As we enter the final weeks of 2025, a time of reflection and gratitude, we have something truly special to celebrate – 40 years of AMPL! Read about our interviews of reflective conversations with founders Bob Fourer, David Gay, and Brian Kernighan, joined by AMPL CEO Bill Wells and Head of Development, Filipe Brandao.
🤖Meet amplbot: Your reliable AI Modeling Assistant Struggling to turn optimization ideas into working models? Meet amplbot— your specialized AI assistant, trained on a vast range of industry models and the full power of the AMPL modeling engine. Designed to
From Excel to AMPL: My 10-Year Journey in Mathematical Optimization I still remember the first time I stumbled upon mathematical optimization while studying economics.It felt like unlocking a hidden superpower — here was a way to combine economics, production, energy,
Stop reinventing the wheel. Discover how a centralized hub for mathematical optimization models is accelerating innovation and bridging the gap between academia and industry. Introduction: The Challenge of Isolated Knowledge In the world of mathematical optimization, a common frustration unites
“From finance to supply chains, from energy to healthcare — today’s companies face complexity at every turn. Spreadsheets and ad-hoc tools are no longer enough. What’s needed is an ecosystem that connects data, analytics, forecasts, and optimization into decisions that
Supercharge Your Optimization with Our New AMPL & Python Guide Hello Amazing Customers! We’re pleased to share our comprehensive guide designed to help you master optimization modeling with AMPL and Python. Whether you’re fine-tuning supply chains, crunching data, or making smarter
We’re excited to announce the official release of the AMPL extension for Visual Studio Code is now available on the Visual Studio Marketplace! 🎉
Whether you’re modeling energy systems, optimizing supply chains, or teaching mathematical programming, this extension brings AMPL right into your favorite Python development environment.
Machine Learning (ML) and Mathematical Optimization (MO) are two powerful tools for addressing complex problems across various fields. While ML uses data to identify patterns and make predictions, MO focuses on finding the best possible solution within a defined set of constraints. Understanding their unique strengths, limitations, and synergistic potential enables effective application in problem-solving.
Learn the basics of mathematical optimization and develop the practical skills needed to building models and solving problems with a free online book.
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