Recursive Learning

Topic

Recursive learning is a logic analysis and implication technique used in digital circuit design, testing, and computer-aided design (CAD). Originally proposed by Wolfgang Kunz, the method recursively evaluates logic gates to extract indirect implications and dependencies between signals, providing a precise solution to Boolean satisfiability problems. It serves as a fundamental framework for test pattern generation, design verification, and logic optimization.