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Pathwise Independence And Derandomization (Foundations And Trends(R) In Theoretical Computer Science)
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 distr...
Series: Foundations and Trends(r) in Theoretical Computer Science (Book 4)
Paperback: 80 pages
Publisher: Now Publishers Inc (August 1, 2006)
Product Dimensions: 6.1 x 0.2 x 9.2 inches
Amazon Rank: 12410889
Format: PDF ePub djvu ebook
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bution, 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.