Model Perspective

Nov 10, 2022 · Fundamentals

Why the Gradient Points to the Steepest Ascent: Understanding Directional Derivatives

This article explains that the gradient of a multivariable function is a vector indicating the direction of greatest increase, shows how directional derivatives are computed, and demonstrates that the maximum rate of change occurs when moving along the gradient direction.