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Item Details
| Title:
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PAIRWISE INDEPENDENCE AND DERANDOMIZATION
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| By: |
Michael Luby, Avi Wigderson |
| Format: |
Paperback |
| List price:
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£53.95 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
1933019220 |
| ISBN 13: |
9781933019222 |
| Publisher: |
NOW PUBLISHERS INC |
| Pub. date: |
1 August, 2006 |
| Series: |
Foundations and Trends in Theoretical Computer Science 4 |
| Pages: |
80 |
| Description: |
Talks about several applications of the following paradigm: design a probabilistic algorithm for a given problem and show that the correctness analysis of the algorithm remains valid even when the random strings used by the algorithm do not come from the uniform distribution, but rather from a small sample space, appropriately chosen. |
| Synopsis: |
Pairwise Independence and Derandomization gives several applications of the following paradigm, which has proven extremely powerful in algorithm design and computational complexity. First, design a probabilistic algorithm for a given problem. Then, show that the correctness analysis of the algorithm remains valid even when the random strings used by the algorithm do not come from the uniform distribution, but rather from a small sample space, appropriately chosen. In some cases this can be proven directly (giving "unconditional derandomization"), and in others it uses computational assumptions, like the existence of 1-way functions (giving "conditional derandomization"). Pairwise Independence and Derandomization is self contained, and is a prime manifestation of the "derandomization" paradigm. It is intended for scholars and graduate students in the field of theoretical computer science interested in randomness, derandomization and their interplay with computational complexity. |
| Illustrations: |
black & white illustrations |
| Publication: |
US |
| Imprint: |
now publishers Inc |
| Returns: |
Returnable |
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