The least mean squares (LMS) algorithms adjust the filter coefficients to minimize the cost function. Compared to recursive least squares (RLS) algorithms, the LMS algorithms do not involve any matrix operations.
Therefore, the LMS algorithms require fewer computational resources and memory than the RLS algorithms.