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In theoretical computer science and mathematics, computational complexity theory focuses on classifying computational problems according to their resource usage, and explores the relationships between these classifications. A computational problem is a task solved by a computer.
Computational complexity theory is a branch of the theory of computation that focuses on classifying computational problems ... making such algorithms hard to break ...
Complexity theory emphasizes interactions and the accompanying feedback loops that constantly change systems. While it proposes that systems are unpredictable, they are also constrained by order-generating rules. [6]: 74 Complexity theory has been used in the fields of strategic management and organizational studies.
Sketch of the Cynefin framework, by Edwin Stoop. The Cynefin framework (/ k ə ˈ n ɛ v ɪ n / kuh-NEV-in) [1] is a conceptual framework used to aid decision-making. [2] Created in 1999 by Dave Snowden when he worked for IBM Global Services, it has been described as a "sense-making device".
In computability theory and computational complexity theory, a decision problem is a computational problem that can be posed as a yes–no question based on the given input values. An example of a decision problem is deciding with the help of an algorithm whether a given natural number is prime.
Computational complexity theory, a field in theoretical computer science and mathematics; Complex systems theory, the study of the complexity in context of complex systems; Assembly theory, a way of characterizing extraterrestrial molecular complexity to assess the probability of the presence of life
The resource that is most commonly considered is time. When "complexity" is used without qualification, this generally means time complexity. The usual units of time (seconds, minutes etc.) are not used in complexity theory because they are too dependent on the choice of a specific computer and on the evolution of technology.
In computational complexity theory, a complexity class is a set of computational problems "of related resource-based complexity". [1] The two most commonly analyzed resources are time and memory . In general, a complexity class is defined in terms of a type of computational problem, a model of computation , and a bounded resource like time or ...