What Does AG Stand For?

AG stands for Alternating Gradient

AG, or Alternating Gradient, refers to an optimization technique often used in machine learning and numerical analysis. This method alternates between two or more optimization steps that focus on different components of the objective function, allowing for more efficient convergence towards a solution. It is particularly effective in high-dimensional spaces and can enhance the performance of gradient descent algorithms by diversifying the search trajectory, improving accuracy and speed in finding optimal solutions.

Other Meanings for AG