Surrogate model

A surrogate model, often referred to as a meta-model or approximation model, is a mathematical model that approximates the behavior of a more complex, typically computationally expensive model or system. Surrogate models are commonly used in fields such as engineering, optimization, and machine learning to reduce the time and resources required to evaluate complex simulations or performances.