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Principles and Practice of Constraint Programming

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Cover of 'Principles and Practice of Constraint Programming'

Table of Contents

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    Book Overview
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    Chapter 1 Automatic Discovery and Exploitation of Promising Subproblems for Tabulation
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    Chapter 2 Propagating Regular Membership with Dashed Strings
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    Chapter 3 A Constraint-Based Encoding for Domain-Independent Temporal Planning
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    Chapter 4 Decremental Consistency Checking of Temporal Constraints: Algorithms for the Point Algebra and the ORD-Horn Class
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    Chapter 5 Domain Reduction for Valued Constraints by Generalising Methods from CSP
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    Chapter 6 Solver-Independent Large Neighbourhood Search
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    Chapter 7 Solution-Based Phase Saving for CP: A Value-Selection Heuristic to Simulate Local Search Behavior in Complete Solvers
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    Chapter 8 An SMT Approach to Fractional Hypertree Width
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    Chapter 9 On the Non-degeneracy of Unsatisfiability Proof Graphs Produced by SAT Solvers
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    Chapter 10 Sequential Precede Chain for Value Symmetry Elimination
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    Chapter 11 An Incremental SAT-Based Approach to Reason Efficiently on Qualitative Constraint Networks
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    Chapter 12 Clause Learning and New Bounds for Graph Coloring
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    Chapter 13 Portfolio-Based Algorithm Selection for Circuit QBFs
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    Chapter 14 Making Compact-Table Compact
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    Chapter 15 Approximation Strategies for Incomplete MaxSAT
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    Chapter 16 A Novel Graph-Based Heuristic Approach for Solving Sport Scheduling Problem
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    Chapter 17 Augmenting Stream Constraint Programming with Eventuality Conditions
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    Chapter 18 A Complete Tolerant Algebraic Side-Channel Attack for AES with CP
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    Chapter 19 Evaluating QBF Solvers: Quantifier Alternations Matter
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    Chapter 20 Quantified Valued Constraint Satisfaction Problem
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    Chapter 21 MLIC: A MaxSAT-Based Framework for Learning Interpretable Classification Rules
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    Chapter 22 Objective as a Feature for Robust Search Strategies
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    Chapter 23 PW-AC: Extending Compact-Table to Enforce Pairwise Consistency on Table Constraints
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    Chapter 24 Automatic Generation and Selection of Streamlined Constraint Models via Monte Carlo Search on a Model Lattice
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    Chapter 25 Efficient Methods for Constraint Acquisition
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    Chapter 26 A Circuit Constraint for Multiple Tours Problems
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    Chapter 27 Towards Semi-Automatic Learning-Based Model Transformation
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    Chapter 28 Finding Solutions by Finding Inconsistencies
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    Chapter 29 The Effect of Structural Measures and Merges on SAT Solver Performance
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    Chapter 30 Learning-Sensitive Backdoors with Restarts
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    Chapter 31 Process Plant Layout Optimization: Equipment Allocation
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    Chapter 32 A Constraint Programming Approach for Solving Patient Transportation Problems
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    Chapter 33 Unifying Reserve Design Strategies with Graph Theory and Constraint Programming
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    Chapter 34 Self-configuring Cost-Sensitive Hierarchical Clustering with Recourse
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    Chapter 35 User’s Constraints in Itemset Mining
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    Chapter 36 On Maximal Frequent Itemsets Mining with Constraints
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    Chapter 37 A Parallel SAT-Based Framework for Closed Frequent Itemsets Mining
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    Chapter 38 Towards Effective Deep Learning for Constraint Satisfaction Problems
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    Chapter 39 Extending the Capacity of 1 /  f Noise Generation
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    Chapter 40 Securely and Automatically Deploying Micro-services in an Hybrid Cloud Infrastructure
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    Chapter 41 Improving Energetic Propagations for Cumulative Scheduling
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    Chapter 42 A Fast and Scalable Algorithm for Scheduling Large Numbers of Devices Under Real-Time Pricing
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    Chapter 43 Balancing Asymmetry in Max-sum Using Split Constraint Factor Graphs
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    Chapter 44 A Large Neighboring Search Schema for Multi-agent Optimization
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    Chapter 45 Distributed Constrained Search by Selfish Agents for Efficient Equilibria
  47. Altmetric Badge
    Chapter 46 Metamorphic Testing of Constraint Solvers
  48. Altmetric Badge
    Chapter 47 Algebraic Fault Attack on SHA Hash Functions Using Programmatic SAT Solvers
Attention for Chapter 19: Evaluating QBF Solvers: Quantifier Alternations Matter
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Chapter title
Evaluating QBF Solvers: Quantifier Alternations Matter
Chapter number 19
Book title
Principles and Practice of Constraint Programming
Published in
arXiv, August 2018
DOI 10.1007/978-3-319-98334-9_19
Book ISBNs
978-3-31-998333-2, 978-3-31-998334-9
Authors

Florian Lonsing, Uwe Egly

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Computer Science 2 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 June 2018.
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#10,248,229
of 13,439,386 outputs
Outputs from arXiv
#253,726
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#224,275
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Outputs of similar age from arXiv
#10,303
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