Model order reduction

Model Order Reduction (MOR) refers to a set of techniques and methods used to simplify complex mathematical models while preserving essential features, behaviors, or properties. These techniques are particularly valuable in fields such as engineering, physics, and computational sciences, where high-fidelity models (often governed by differential equations and involving a large number of variables or degrees of freedom) can be computationally expensive to simulate and analyze.