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ZPP (Complexity): Polynomial Time, Turing Machine, Logarithmic Space -

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2026-03-19
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High Quality Content by WIKIPEDIA articles! In complexity theory, ZPP (zero-error probabilistic polynomial time) is the complexity class of problems for which a probabilistic Turing machine exists with these properties: It always returns the correct YES or NO answer.; The running time is polynomial on average for any input. In other words, the algorithm is allowed to flip a truly-random coin while it is run ... Visas aprašymas

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High Quality Content by WIKIPEDIA articles! In complexity theory, ZPP (zero-error probabilistic polynomial time) is the complexity class of problems for which a probabilistic Turing machine exists with these properties: It always returns the correct YES or NO answer.; The running time is polynomial on average for any input. In other words, the algorithm is allowed to flip a truly-random coin while it is running. It always returns the correct answer. (Such an algorithm is called a Las Vegas algorithm.) For a problem of size n, there is some polynomial p(n) such that the average running time will be less than p(n), even though it might occasionally be much longer.

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Leidėjas OmniScriptum
Išleidimo metai 2026
Viršelio tipas Minkšti viršeliai
EAN 9786131175589
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183,70 € 282,62 €