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Experimental Algorithms

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Cover of 'Experimental Algorithms'

Table of Contents

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    Book Overview
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    Chapter 1 Algorithms and Linear Programming Relaxations for Scheduling Unrelated Parallel Machines
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    Chapter 2 The Hub Labeling Algorithm
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    Chapter 3 Design of Practical Succinct Data Structures for Large Data Collections
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    Chapter 4 Hub Label Compression
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    Chapter 5 Faster Customization of Road Networks
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    Chapter 6 Intriguingly Simple and Fast Transit Routing
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    Chapter 7 Transit Node Routing Reconsidered
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    Chapter 8 A New QEA Computing Near-Optimal Low-Discrepancy Colorings in the Hypergraph of Arithmetic Progressions
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    Chapter 9 Computational Aspects of Ordered Integer Partition with Upper Bounds
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    Chapter 10 Hypergraph Transversal Computation with Binary Decision Diagrams
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    Chapter 11 Efficient Counting of Maximal Independent Sets in Sparse Graphs
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    Chapter 12 An Edge Quadtree for External Memory
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    Chapter 13 Branchless Search Programs
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    Chapter 14 Lightweight Lempel-Ziv Parsing
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    Chapter 15 Space-Efficient, High-Performance Rank and Select Structures on Uncompressed Bit Sequences
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    Chapter 16 Think Locally, Act Globally: Highly Balanced Graph Partitioning
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    Chapter 17 Evaluation of ILP-Based Approaches for Partitioning into Colorful Components
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    Chapter 18 Finding Modules in Networks with Non-modular Regions
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    Chapter 19 Telling Stories Fast
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    Chapter 20 Undercover Branching
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    Chapter 21 Quadratic Outer Approximation for Convex Integer Programming with Box Constraints
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    Chapter 22 Separable Non-convex Underestimators for Binary Quadratic Programming
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    Chapter 23 Hybrid SDP Bounding Procedure
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    Chapter 24 Computing Multimodal Journeys in Practice
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    Chapter 25 Efficient Computation of Jogging Routes
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    Chapter 26 Dominator Certification and Independent Spanning Trees: An Experimental Study
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    Chapter 27 Novel Techniques for Automorphism Group Computation
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    Chapter 28 Experimental Algorithms
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    Chapter 29 The Quest for Optimal Solutions for the Art Gallery Problem: A Practical Iterative Algorithm
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    Chapter 30 An Improved Branching Algorithm for Two-Layer Planarization Parameterized by the Feedback Edge Set Number
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    Chapter 31 In-Out Separation and Column Generation Stabilization by Dual Price Smoothing
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    Chapter 32 Energy Minimization via a Primal-Dual Algorithm for a Convex Program
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    Chapter 33 Reoptimization in Branch-and-Bound Algorithms with an Application to Elevator Control
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    Chapter 34 Cluster-Based Heuristics for the Team Orienteering Problem with Time Windows
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    Chapter 35 Finding Robust Solutions for the Stochastic Job Shop Scheduling Problem by Including Simulation in Local Search
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Title
Experimental Algorithms
Published by
Springer Berlin Heidelberg, May 2013
DOI 10.1007/978-3-642-38527-8
ISBNs
978-3-64-238526-1, 978-3-64-238527-8
Editors

Bonifaci, Vincenzo, Demetrescu, Camil, Marchetti-Spaccamela, Alberto

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 1%
Professor > Associate Professor 1 1%
Student > Master 1 1%
Unknown 92 97%
Readers by discipline Count As %
Computer Science 2 2%
Energy 1 1%
Unknown 92 97%