Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In complexity theory, the complexity class NP-easy is the set of function problems that are solvable in polynomial time by a deterministic Turing machine with an oracle for some decision problem in NP. In other words, a problem X is NP-easy if and only if there exists some problem Y in NP such that X is polynomial-time Turing reducible to Y. This means that given an oracle for Y, there exists an algorithm that solves X in polynomial time (possibly by repeatedly using that oracle). NP-easy is another name for FPNP (see the function problem article) or for FΔ2P (see the polynomial hierarchy article). An example of an NP-easy problem is the problem of sorting a list of strings. The decision problem is string A greater than string B" is in NP. There are algorithms such as Quicksort that can sort the list using only a polynomial number of calls to the comparison routine, plus a polynomial amount of additional work. Therefore, sorting is NP-easy. "
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In complexity theory, the complexity class NP-easy is the set of function problems that are solvable in polynomial time by a deterministic Turing machine with an oracle for some decision problem in NP. In other words, a problem X is NP-easy if and only if there exists some problem Y in NP such that X is polynomial-time Turing reducible to Y. This means that given an oracle for Y, there exists an algorithm that solves X in polynomial time (possibly by repeatedly using that oracle). NP-easy is another name for FPNP (see the function problem article) or for FΔ2P (see the polynomial hierarchy article). An example of an NP-easy problem is the problem of sorting a list of strings. The decision problem is string A greater than string B" is in NP. There are algorithms such as Quicksort that can sort the list using only a polynomial number of calls to the comparison routine, plus a polynomial amount of additional work. Therefore, sorting is NP-easy. "
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Taschenbuch. Zustand: Neu. NP-easy | Complexity Class, Polynomial Time, Deterministic Turing Machine | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9783639972634 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 134842421
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. In complexitytheory, the complexity class NP-easy is the set of function problemsthat are solvable in polynomial time by a deterministic Turing machinewith an oracle for some decision problem in NP. In other words, aproblem X is NP-easy if and only if there exists some problem Y in NPsuch that X is polynomial-time Turing reducible to Y. This means thatgiven an oracle for Y, there exists an algorithm that solves X inpolynomial time (possibly by repeatedly using that oracle). NP-easy isanother name for FPNP (see the function problem article) or for F¿2P(see the polynomial hierarchy article). An example of an NP-easy problemis the problem of sorting a list of strings. The decision problem 'isstring A greater than string B' is in NP. There are algorithms such asQuicksort that can sort the list using only a polynomial number of callsto the comparison routine, plus a polynomial amount of additional work.Therefore, sorting is NP-easy.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. Bestandsnummer des Verkäufers 9783639972634
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