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Approximation and Online Algorithms

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Cover of 'Approximation and Online Algorithms'

Table of Contents

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    Book Overview
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    Chapter 1 Terrain-Like Graphs: PTASs for Guarding Weakly-Visible Polygons and Terrains
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    Chapter 2 A New Lower Bound for Classic Online Bin Packing
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    Chapter 3 Improved Deterministic Strategy for the Canadian Traveller Problem Exploiting Small Max-( s ,  t )-Cuts
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    Chapter 4 Robust Online Algorithms for Certain Dynamic Packing Problems
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    Chapter 5 Approximation Results for Makespan Minimization with Budgeted Uncertainty
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    Chapter 6 Streaming Algorithms for Bin Packing and Vector Scheduling
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    Chapter 7 An Improved Upper Bound for the Ring Loading Problem
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    Chapter 8 Parallel Online Algorithms for the Bin Packing Problem
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    Chapter 9 Managing Multiple Mobile Resources
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    Chapter 10 On the Cycle Augmentation Problem: Hardness and Approximation Algorithms
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    Chapter 11 Approximate Strong Edge-Colouring of Unit Disk Graphs
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    Chapter 12 Precedence-Constrained Scheduling and Min-Sum Set Cover
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    Chapter 13 Fault Tolerant Clustering with Outliers
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    Chapter 14 Improved (In-)Approximability Bounds for d -Scattered Set
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    Chapter 15 Greedy Is Optimal for Online Restricted Assignment and Smart Grid Scheduling for Unit Size Jobs
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    Chapter 16 Fair Coresets and Streaming Algorithms for Fair k -means
Attention for Chapter 13: Fault Tolerant Clustering with Outliers
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Chapter title
Fault Tolerant Clustering with Outliers
Chapter number 13
Book title
Approximation and Online Algorithms
Published by
Springer, Cham, September 2019
DOI 10.1007/978-3-030-39479-0_13
Book ISBNs
978-3-03-039478-3, 978-3-03-039479-0
Authors

Tanmay Inamdar, Kasturi Varadarajan, Inamdar, Tanmay, Varadarajan, Kasturi

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