PP (Complexity) : Computational Complexity Theory, Decision Problem, Probabilistic Turing Machine, Chernoff Bound, PostBQP

Language: English

Published by Omniscriptum, 2026

6139345294 / 9786139345298

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nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In complexity theory, PP is the class of decision problems solvable by a probabilistic Turing machine in polynomial time, with an error probability of less than 1/2 for all instances. The abbreviation PP refers to probabilistic polynomial time. The complexity class was defined by Gill in 1977.If a decision problem is in PP, then there is an algorithm for it that is allowed to flip coins and make random decisions. It is guaranteed to run in polynomial time. If the answer is YES, the algorithm will answer YES with probability more than 1/2. If the answer is NO, the algorithm will answer YES with probability less than or equal to 1/2. In more practical terms, it is the class of problems that can be solved to any fixed degree of accuracy by running a randomized, polynomial-time algorithm a sufficient (but bounded) number of times.…

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Bibliographic details

Title
PP (Complexity) : Computational Complexity Theory, Decision Problem, Probabilistic Turing Machine, Chernoff Bound, PostBQP
Author
Philippe Valentin Giffard
Publisher
Omniscriptum
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6139345294
ISBN 13
9786139345298
Item weight
113 grams
Dimensions
220x150x4 mm

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