Complete problems are a special category of decision problems that are both in NP and as hard as any problem in NP, meaning that if a polynomial-time solution exists for any complete problem, it can be used to solve all problems in NP efficiently. They serve as benchmarks for the computational complexity of various algorithms and play a critical role in understanding the limits of what can be computed quickly. Identifying complete problems allows researchers to classify and compare the difficulty of other problems.
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