Bregman method

The Bregman method, often referred to in the context of Bregman iteration or Bregman divergence, is a mathematical framework used primarily in optimization, signal processing, and machine learning. It is named after Lev M. Bregman, who introduced the concept of Bregman divergence in the 1960s.