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

Overview of attention for book
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
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    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
  34. Altmetric Badge
    Chapter 33 A Nearly Linear Size 4-Min-Wise Independent Permutation Family by Finite Geometries
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

blogs
1 blog
wikipedia
1 Wikipedia page

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
59 Mendeley
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Title
Approximation, Randomization, and Combinatorial Optimization.. Algorithms and Techniques
Published by
Lecture notes in computer science, January 2003
DOI 10.1007/b11961
ISBNs
978-3-54-040770-6, 978-3-54-045198-3
Authors

Sanjeev Arora, Klaus Jansen, José D. P. Rolim, Amit Sahai

Editors

Arora, Sanjeev, Jansen, Klaus, Rolim, José D. P., Sahai, Amit

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 2%
Unknown 58 98%
Readers by discipline Count As %
Computer Science 1 2%
Unknown 58 98%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 May 2014.
All research outputs
#3,782,038
of 22,817,213 outputs
Outputs from Lecture notes in computer science
#888
of 8,124 outputs
Outputs of similar age
#11,968
of 129,230 outputs
Outputs of similar age from Lecture notes in computer science
#19
of 91 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 129,230 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.