Complexity theory
Complexity theory is a branch of Computer Science that deals with the study of how long an Algorithm takes to complete, usually measured in terms of the size of the input. It is closely related to Signal processing and Network effects, as complex systems often exhibit Emergence and Self-organization. The theory has many applications in Cosmos research, Molecular modeling, and Social hunters behavior analysis. Key figures in the development of complexity theory include Stephen Cook and Richard Karp. Complexity theory also draws on concepts from Uncertainty quantification and Riemann sum to understand and analyze complex systems.