message-passing algorithms

Message-passing algorithms are methods used to solve complex problems by breaking them into smaller parts and having connected components share information with each other. Imagine a network where each node (or point) communicates with its neighbors, passing messages that contain relevant data. These messages help the entire system work together efficiently, such as making decisions, solving puzzles, or optimizing outcomes. This approach is common in areas like error correction in communications, solving large-scale problems in machine learning, or understanding graphical models, enabling systems to process information collectively and arrive at accurate solutions collectively.