Steepest descent method

The steepest descent method is an optimization technique used to find the minimum point of a function. It works by evaluating the current position and determining the direction where the function decreases the fastest—called the negative gradient. Then, it moves step-by-step in that direction, adjusting the size of each move to efficiently approach the lowest point. Think of it like descending a mountain straight down; at each step, you look for the steepest path downward and move accordingly. This iterative process continues until reaching a point where no further significant decrease is possible, indicating a local minimum.