Solving the Least-Squares Problem with Gradient Descent: the Least-Mean-Square Algorithm.

The least-mean-square (LMS) algorithm is an iterative approach to finding the minimum mean-squared error filter weights based on taking steps in the direction of the negative gradient of the instantaneous error. The LMS algorithm is very simple and widely used in adaptive filtering.

[@anonymoususer6612]

Literally many people don't use gms

[@HimothyOHooligan]

What's your point?