differentiation algorithms

Differentiation algorithms are methods used by computers to find how a function changes at any given point. Think of it as measuring the slope or steepness of a curve. These algorithms analyze the function's values nearby to estimate the rate of change accurately. They are fundamental in fields like machine learning, physics, and engineering, enabling systems to learn, predict, or optimize by understanding how small changes in input affect output. Essentially, they help computers understand and mimic how things change naturally in the real world.