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Approximation, Randomization, and Combinatorial Optimization.. Algorithms and Techniques

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Cover of 'Approximation, Randomization, and Combinatorial Optimization.. Algorithms and Techniques'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Correlation Clustering with Partial Information
  3. Altmetric Badge
    Chapter 2 Improved Linear Time Approximation Algorithms for Weighted Matchings
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    Chapter 3 Covering Graphs Using Trees and Stars
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    Chapter 4 An Improved Decomposition Theorem for Graphs Excluding a Fixed Minor
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    Chapter 5 Approximation Algorithms for Channel Allocation Problems in Broadcast Networks
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    Chapter 6 Asymmetry in k -Center Variants
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    Chapter 7 An FPTAS for Quickest Multicommodity Flows with Inflow-Dependent Transit Times
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    Chapter 8 On the Complexity of Approximating k -Dimensional Matching
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    Chapter 9 Approximating Market Equilibria
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    Chapter 10 Approximating the Degree-Bounded Minimum Diameter Spanning Tree Problem
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    Chapter 11 On the Hardness of Approximate Multivariate Integration
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    Chapter 12 A 2-Approximation Algorithm for the Soft-Capacitated Facility Location Problem
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    Chapter 13 Approximating Rooted Connectivity Augmentation Problems
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    Chapter 14 Effective Routing and Scheduling in Adversarial Queueing Networks
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    Chapter 15 Approximation Schemes for Generalized 2-Dimensional Vector Packing with Application to Data Placement
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    Chapter 16 An Improved Algorithm for Approximating the Radii of Point Sets
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    Chapter 17 Testing Low-Degree Polynomials over GF (2)
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    Chapter 18 Computational Analogues of Entropy
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    Chapter 19 Bounds on 2-Query Codeword Testing
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    Chapter 20 The Lovász Number of Random Graphs
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    Chapter 21 Perfectly Balanced Allocation
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    Chapter 22 On Extracting Private Randomness over a Public Channel
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    Chapter 23 High Degree Vertices and Eigenvalues in the Preferential Attachment Graph
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    Chapter 24 The Satisfiability Threshold for Randomly Generated Binary Constraint Satisfaction Problems
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    Chapter 25 Continuous-Time Quantum Walks on the Symmetric Group
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    Chapter 26 Distribution-Free Property Testing
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    Chapter 27 On the Graph-Density of Random 0/1-Polytopes
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    Chapter 28 A Gambling Game Arising in the Analysis of Adaptive Randomized Rounding
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    Chapter 29 Tight Bounds for Testing Bipartiteness in General Graphs
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    Chapter 30 Discrete Quantum Walks Hit Exponentially Faster
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    Chapter 31 Approximate Testing of Visual Properties
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    Chapter 32 Faster Algorithms for MAX CUT and MAX CSP , with Polynomial Expected Time for Sparse Instances
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    Chapter 33 A Nearly Linear Size 4-Min-Wise Independent Permutation Family by Finite Geometries
Attention for Chapter 1: Correlation Clustering with Partial Information
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Chapter title
Correlation Clustering with Partial Information
Chapter number 1
Book title
Approximation, Randomization, and Combinatorial Optimization.. Algorithms and Techniques
Published by
Springer, Berlin, Heidelberg, January 2003
DOI 10.1007/978-3-540-45198-3_1
Book ISBNs
978-3-54-040770-6, 978-3-54-045198-3
Authors

Erik D. Demaine, Nicole Immorlica

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 9%
Canada 1 2%
Italy 1 2%
China 1 2%
Japan 1 2%
Germany 1 2%
Unknown 38 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 43%
Student > Master 5 11%
Student > Bachelor 4 9%
Professor > Associate Professor 4 9%
Other 4 9%
Other 8 17%
Unknown 2 4%
Readers by discipline Count As %
Computer Science 35 74%
Mathematics 4 9%
Engineering 2 4%
Physics and Astronomy 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 3 6%