Computational complexity theory and Juris Hartmanis

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Computational complexity theory and Juris Hartmanis

Computational complexity theory vs. Juris Hartmanis

Computational complexity theory is a branch of the theory of computation in theoretical computer science that focuses on classifying computational problems according to their inherent difficulty, and relating those classes to each other. Juris Hartmanis (born July 5, 1928) is a prominent computer scientist and computational theorist who, with Richard E. Stearns, received the 1993 ACM Turing Award "in recognition of their seminal paper which established the foundations for the field of computational complexity theory".

Similarities between Computational complexity theory and Juris Hartmanis

Computational complexity theory and Juris Hartmanis have 5 things in common (in Unionpedia): DTIME, Richard E. Stearns, Theory of computation, Time complexity, Time hierarchy theorem.

DTIME

In computational complexity theory, DTIME (or TIME) is the computational resource of computation time for a deterministic Turing machine.

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Richard E. Stearns

Richard Edwin Stearns (born July 5, 1936) is a prominent computer scientist who, with Juris Hartmanis, received the 1993 ACM Turing Award "in recognition of their seminal paper which established the foundations for the field of computational complexity theory" (Hartmanis and Stearns, 1965).

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Theory of computation

In theoretical computer science and mathematics, the theory of computation is the branch that deals with how efficiently problems can be solved on a model of computation, using an algorithm.

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Time complexity

In computer science, the time complexity is the computational complexity that describes the amount of time it takes to run an algorithm.

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Time hierarchy theorem

In computational complexity theory, the time hierarchy theorems are important statements about time-bounded computation on Turing machines.

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The list above answers the following questions

What Computational complexity theory and Juris Hartmanis have in common
What are the similarities between Computational complexity theory and Juris Hartmanis

Computational complexity theory and Juris Hartmanis Comparison

Computational complexity theory has 164 relations, while Juris Hartmanis has 33. As they have in common 5, the Jaccard index is 2.54% = 5 / (164 + 33).

References

This article shows the relationship between Computational complexity theory and Juris Hartmanis. To access each article from which the information was extracted, please visit:

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