Coding Theory
Computational complexity is a field in computer science that studies the resources required for solving computational problems, specifically focusing on time and space. It examines how the difficulty of a problem relates to the size of the input and classifies problems based on their inherent difficulty, often using complexity classes such as P, NP, and NP-complete. This understanding is critical when applying algorithms in areas like decoding, where efficiency can impact performance significantly.
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