ADMM (Alternating Direction Method of Multipliers)

ADMM (Alternating Direction Method of Multipliers) is an optimization technique used to solve complex problems by breaking them into smaller, manageable parts. It alternates between optimizing each part separately while gradually adjusting a shared variable to ensure all parts work toward a common solution. Think of it like a team working on different aspects of a project: each member focuses on their task, then collaborates to align their work, gradually reaching an optimal overall outcome. This approach is particularly useful for problems involving large datasets or distributed systems, making complex optimization more efficient and scalable.