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Approximation and Online Algorithms

Overview of attention for book
Approximation and Online Algorithms
Springer Nature Switzerland

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Approximation Ineffectiveness of a Tour-Untangling Heuristic
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    Chapter 2 A Frequency-Competitive Query Strategy for Maintaining Low Collision Potential Among Moving Entities
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    Chapter 3 Approximating Maximum Edge 2-Coloring by Normalizing Graphs
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    Chapter 4 An Improved Deterministic Algorithm for the Online Min-Sum Set Cover Problem
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    Chapter 5 Greedy Minimum-Energy Scheduling
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    Chapter 6 Scheduling with Speed Predictions
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    Chapter 7 The Power of Amortization on Scheduling with Explorable Uncertainty
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    Chapter 8 Total Completion Time Scheduling Under Scenarios
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    Chapter 9 Approximating Fair k -Min-Sum-Radii in Euclidean Space
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    Chapter 10 Online Hitting Set of  d -Dimensional Fat Objects
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    Chapter 11 Approximation Schemes Under Resource Augmentation for Knapsack and Packing Problems of Hyperspheres and Other Shapes
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    Chapter 12 Hitting Sets when the Shallow Cell Complexity is Small
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    Chapter 13 Any-Order Online Interval Selection
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    Chapter 14 Improved Approximations for Relative Survivable Network Design
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    Chapter 15 Independent Set in  k -Claw-Free Graphs: Conditional $$\chi $$ -Boundedness and the Power of LP/SDP Relaxations
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    Chapter 16 Fast Parallel Algorithms for Submodular p -Superseparable Maximization
Attention for Chapter 6: Scheduling with Speed Predictions
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Chapter title
Scheduling with Speed Predictions
Chapter number 6
Book title
Approximation and Online Algorithms
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-49815-2_6
Book ISBNs
978-3-03-149814-5, 978-3-03-149815-2
Authors

Balkanski, Eric, Ou, Tingting, Stein, Clifford, Wei, Hao-Ting

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Student > Doctoral Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Unknown 1 33%