koordinaatistonsa
Koordinaatistonsa, also known as coordinate descent, is an optimization algorithm used in various fields such as machine learning and statistics. It is particularly useful for solving large-scale optimization problems where the objective function is separable, meaning it can be broken down into simpler subproblems.
The basic idea behind koordinaatistonsa is to optimize one variable at a time while keeping the others
One of the key advantages of koordinaatistonsa is its simplicity and efficiency. It can handle high-dimensional
However, koordinaatistonsa also has its limitations. It may converge slowly if the variables are highly correlated,