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Discrete Probability and Algorithms

Overview of attention for book
Cover of 'Discrete Probability and Algorithms'

Table of Contents

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    Book Overview
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    Chapter 1 On Simulating a Markov Chain Stationary Distribution when Transition Probabilities are Unknown
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    Chapter 2 A Note on Network Reliability
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    Chapter 3 Rectangular Arrays with Fixed Margins
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    Chapter 4 Three Examples of Monte-Carlo Markov Chains: At the Interface Between Statistical Computing, Computer Science, and Statistical Mechanics
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    Chapter 5 The Move-To-Front Rule for Self-Organizing Lists with Markov Dependent Requests
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    Chapter 6 The Asymptotic Lower Bound on the Diagonal Ramsey Numbers: A Closer Look
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    Chapter 7 Random Walks and Undirected Graph Connectivity: A Survey
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    Chapter 8 Sidon Sets with Small Gaps
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    Chapter 9 Variations on the Monotone Subsequence Theme of Erdös and Szekeres
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    Chapter 10 Randomised Approximation Schemes for Tutte-Gröthendieck Invariants
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    Chapter 11 Quasi-Additive Euclidean Functionals
Attention for Chapter 11: Quasi-Additive Euclidean Functionals
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Citations

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Chapter title
Quasi-Additive Euclidean Functionals
Chapter number 11
Book title
Discrete Probability and Algorithms
Published by
Springer, New York, NY, January 1995
DOI 10.1007/978-1-4612-0801-3_11
Book ISBNs
978-1-4612-6905-2, 978-1-4612-0801-3
Authors

J. E. Yukich

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 100%
Readers by discipline Count As %
Mathematics 1 50%
Computer Science 1 50%

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