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Probabilistic Complexity Theory, including: Monte Carlo Method, Probabilistic Turing Machine, Randomized Algorithm, Probabilistically Checkable Proof, ... Test, Sipser-lautemann Theorem, Pcp Theorem
Hephaestus Books
Paperback. Hephaestus Books 2011-09-10.
ISBN 9781243953643
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Publisher description
Hephaestus Books represents a new publishing paradigm, allowing disparate content sources to be curated into cohesive, relevant, and informative books. To date, this content has been curated from Wikipedia articles and images under Creative Commons licensing, although as Hephaestus Books continues to increase in scope and dimension, more licensed and public domain content is being added. We believe books such as this represent a new and exciting lexicon in the sharing of human knowledge. This particular book is a collaboration focused on Probabilistic complexity theory.
More info: A randomized algorithm or probabilistic algorithm is an algorithm which employs a degree of randomness as part of its logic. The algorithm typically uses uniformly random bits as an auxiliary input to guide its behavior, in the hope of achieving good performance in the "average case" over all possible choices of random bits. Formally, the algorithm's performance will be a random variable determined by the random bits; thus either the running time, or the output (or both) are random variables
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Probabilistic Complexity Theory, including: Monte Carlo Method, Probabilistic Turing Machine, Randomized Algorithm, Probabilistically Checkable Proof, ... Test, Sipser-lautemann Theorem, Pcp Theorem
Book reviews » Probabilistic Complexity Theory, including: Monte Carlo Method, Probabilistic Turing Machine, Randomized Algorithm, Probabilistically Checkable Proof, ... Test, Sipser-lautemann Theorem, Pcp Theorem
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![Probabilistic Complexity Theory, including: Monte Carlo Method, Probabilistic Turing Machine, Randomized Algorithm, Probabilistically Checkable Proof, ... Test, Sipser-lautemann Theorem, Pcp Theorem](/images/background.gif) |
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