Problem Decomposition

Problem Decomposition is a technique that involves breaking down complex problems into smaller, more manageable sub-problems, with the aim of improving the efficiency and quality of problem solving through a divide-and-conquer approach. Its core objective is to identify the key components of a problem, clarify the relationships between these components, thereby simplifying the process of problem analysis and resolution. In the field of artificial intelligence and machine learning, Problem Decomposition can optimize algorithm design, enhance model training outcomes, and improve the scalability and robustness of systems, making it a valuable application.