In computational theory, complexity classes categorize problems by the resources needed to solve them, like time or memory. They help determine if a problem is efficiently solvable or inherently hard. Computer scientists use these classifications to design algorithms and gauge feasibility, while researchers and engineers benefit by optimizing software for real-world performance.
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