Computational Complexity Theory
A backtracking algorithm is a problem-solving technique that incrementally builds candidates for solutions, and abandons a candidate as soon as it is determined that it cannot be extended to a valid solution. This approach is particularly useful for solving constraint satisfaction problems, such as the satisfiability problem in propositional logic, which is central to understanding concepts like the Cook-Levin theorem and SAT.
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