About this Simulation

This simulation demonstrates how numerical algorithms approximate the area under a curve. Learners can visualise various integration methods, adjust parameters like interval width and function bounds, and observe how computational precision improves with refined approximations.

Learning objectives: Understand the fundamental principles of numerical integration and how discrete algorithms estimate continuous functions | Compare different approximation methods and analyse their accuracy and efficiency | Develop intuition for the relationship between step size, algorithm choice, and computational error