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AMPL MP

Models aren’t just “min cx s.t. Ax=b”

AMPL MP simplifies the process of handling complex models by automatically reformulating them for you. With built-in capabilities for generating and refining model structures, AMPL MP ensures efficient optimization, allowing you to focus on problem-solving rather than manual model adjustments.

AMPL MP

How AMPL MP benefits you

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Efficient Problem Solving

Linearize logical and non-linear expressions to use faster, more efficient solvers – giving you the ability to handle complex problems while maximizing solver performance.

Solver-Aware Model Reformulations

AMPL MP reformulates model expressions to ensure compatibility with solvers and benchmark different approaches to automatically select the most efficient option.

Examples of Automatic Reformulation Capabilities

  • At most one of the variables x, y can be positive
  • All variables in a group should have different values
  • Piecewise-linear approximation of non-linear functions

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Examples of AMPL MP

Interactive AMPL (MP) Models: Explore, Modify, Solve

Experience AMPL MP’s flexibility firsthand by exploring real-world models in Google Colab and Streamlit. Run models with multiple solvers and see how AMPL’s solver-agnostic power handles complex optimization tasks with ease.

https://ampl.com/colab/notebooks/n-queens.html

Start implementing MP today with a free AMPL license

Try AMPL today and see how it can transform your approach to optimization and drive your projects to success.

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Example Models

You don’t need to create your own model to experience MP.

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Support

We’re here to help you more deeply understand MP or learn about AMPL.