👉 Tracking math involves using mathematical techniques to analyze and predict the movement of objects or entities over time, often by fitting data points to mathematical models. This process typically starts with collecting data on an object's position or state at various intervals, then applying functions such as linear regression, polynomial fitting, or more complex models like differential equations to describe its trajectory. By estimating parameters of these models, tracking math can predict future positions, velocities, and even account for external influences like friction or gravity. This method is crucial in fields like robotics, computer vision, and navigation systems, where precise tracking of moving objects is essential.
