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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
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    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

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%

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