Resource Bounded Measure : Lebesgue Measure, Complexity Class, Jack Lutz

Language: English

Published by Omniscriptum

6131260060 / 9786131260063

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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. Lutz''s resource bounded measure is a generalisation of Lebesgue measure to complexity classes. It was originally developed by Jack Lutz. Just as Lebesgue measure gives a method to quantify the size of subsets of the Euclidean space R^n, resource bounded measure gives a method to classify the size of subsets of complexity classes. For instance, computer scientists generally believe that the complexity class P (the set of all decision problems solvable in polynomial time) is not equal to the complexity class NP (the set of all decision problems checkable, but not necessarily solvable, in polynomial time). Since P is a subset of NP, this would mean that NP contains more problems than P. A stronger hypothesis than 'P is not NP' is the statement, 'NP does not have p-measure 0'. Here, p-measure is a generalization of Lebesgue measure to subsets of the complexity class E, in which P is contained. P is known to have p-measure 0, and so the hypothesis 'NP does not have p-measure 0' would imply not only that NP and P are unequal, but that NP is, in a measure-theoretic sense, 'much bigger than P'.…

Seller Inventory # 9786131260063

Title
Resource Bounded Measure : Lebesgue Measure, Complexity Class, Jack Lutz
Author
Mariam T. Tennoe
Publisher
Omniscriptum
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6131260060
ISBN 13
9786131260063
Item weight
143 grams
Dimensions
220x150x6 mm

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