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Randomization and Approximation Techniques in Computer Science

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Cover of 'Randomization and Approximation Techniques in Computer Science'

Table of Contents

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    Book Overview
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    Chapter 1 Polynomial time approximation schemes for some dense instances of NP-hard optimization problems
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    Chapter 2 Average-case complexity of shortest-paths problems in the vertex-potential model
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    Chapter 3 Approximation algorithms for covering polygons with squares and similar problems
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    Chapter 4 Greedily approximating the r -independent set and k -center problems on random instances
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    Chapter 5 Nearly linear time approximation schemes for Euclidean TSP and other geometric problems
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    Chapter 6 Random sampling of Euler tours
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    Chapter 7 A combinatorial consistency lemma with application to proving the PCP theorem
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    Chapter 8 Super-bits, demi-bits, and NP/qpoly-natural proofs
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    Chapter 9 Sample spaces with small bias on neighborhoods and error-correcting communication protocols
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    Chapter 10 Approximation on the web: A compendium of NP optimization problems
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    Chapter 11 Random-based scheduling new approximations and LP lower bounds
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    Chapter 12 ‘Go with the winners’ generators with applications to molecular modeling
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    Chapter 13 Probabilistic approximation of some NP optimization problems by finite-state machines
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    Chapter 14 Using hard problems to derandomize algorithms: An incomplete survey
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    Chapter 15 Weak and strong recognition by 2-way randomized automata
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    Chapter 16 Tally languages accepted by Monte Carlo pushdown automata
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    Chapter 17 Resource-bounded randomness and compressibility with respect to nonuniform measures
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    Chapter 18 Randomness, stochasticity and approximations
Attention for Chapter 14: Using hard problems to derandomize algorithms: An incomplete survey
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Chapter title
Using hard problems to derandomize algorithms: An incomplete survey
Chapter number 14
Book title
Randomization and Approximation Techniques in Computer Science
Published by
Springer, Berlin, Heidelberg, July 1997
DOI 10.1007/3-540-63248-4_14
Book ISBNs
978-3-54-063248-1, 978-3-54-069247-8
Authors

Russell Impagliazzo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 100%
Readers by discipline Count As %
Mathematics 1 100%