Since 2020, aggregated from related topics
Computational complexity is a branch of theoretical computer science that analyzes the resources required to solve computational problems. It focuses on understanding and classifying the difficulty of solving problems, based on factors such as time, space, and memory requirements. Computational complexity theory aims to categorize problems into different complexity classes, such as P, NP, and NP-complete, which can help identify tractable and intractable problems. Researchers in this field also study algorithms and their efficiency in solving different types of problems. Overall, computational complexity provides insights into the inherent difficulty of solving computational problems and helps guide the design and analysis of algorithms.