In computational complexity theory, polynomial time is significant because it represents the class of problems that can be solved efficiently by algorithms. Problems that can be solved in polynomial time are considered tractable, meaning they can be solved in a reasonable amount of time as the input size grows. This is important for understanding the efficiency and feasibility of solving various computational problems.
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