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Foundations and Trends: Pairwise Independence and Derandomization

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Description: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.Table of contents:1. Pairwise Independence2. Limited Independence Probability Spaces3. Pairwise Independence and Complexity Classes4. Recycling randomness5. Pseudo-random generators6. Deterministic CountingAcknowledgementsReferencesWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Foundations and Trends: Pairwise Independence and Derandomization. To get started finding Foundations and Trends: Pairwise Independence and Derandomization, you are right to find our website which has a comprehensive collection of manuals listed.
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Pages: 88

Format: PDF, EPUB & Kindle Edition

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ISBN: 1282934651

Description: 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.Table of contents:1. Pairwise Independence2. Limited Independence Probability Spaces3. Pairwise Independence and Complexity Classes4. Recycling randomness5. Pseudo-random generators6. Deterministic CountingAcknowledgementsReferencesWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Foundations and Trends: Pairwise Independence and Derandomization. To get started finding Foundations and Trends: Pairwise Independence and Derandomization, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Foundations and Trends: Pairwise Independence and Derandomization

Foundations and Trends: Pairwise Independence and Derandomization

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