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.
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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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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.