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Principles and Practice of Constraint Programming

Overview of attention for book
Cover of 'Principles and Practice of Constraint Programming'

Table of Contents

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    Book Overview
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    Chapter 1 Exploiting Short Supports for Improved Encoding of Arbitrary Constraints into SAT
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    Chapter 2 Systematic Derivation of Bounds and Glue Constraints for Time-Series Constraints
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    Chapter 3 An Adaptive Parallel SAT Solver
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    Chapter 4 Improved Linearization of Constraint Programming Models
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    Chapter 5 Impact of SAT-Based Preprocessing on Core-Guided MaxSAT Solving
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    Chapter 6 Multiobjective Optimization by Decision Diagrams
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    Chapter 7 Dependency Schemes in QBF Calculi: Semantics and Soundness
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    Chapter 8 The Multirate Resource Constraint
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    Chapter 9 The Dichotomy for Conservative Constraint Satisfaction is Polynomially Decidable
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    Chapter 10 Propagation via Kernelization: The Vertex Cover Constraint
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    Chapter 11 Breaking Symmetries in Graphs: The Nauty Way
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    Chapter 12 Extending Broken Triangles and Enhanced Value-Merging
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    Chapter 13 A Bounded Path Propagator on Directed Graphs
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    Chapter 14 Compact-Table: Efficiently Filtering Table Constraints with Reversible Sparse Bit-Sets
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    Chapter 15 Interval Constraints with Learning: Application to Air Traffic Control
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    Chapter 16 Backdoors to Tractable Valued CSP
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    Chapter 17 Monte-Carlo Tree Search for the Maximum Satisfiability Problem
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    Chapter 18 A New Approach to Checking the Dynamic Consistency of Conditional Simple Temporal Networks
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    Chapter 19 On Finding Minimum Satisfying Assignments
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    Chapter 20 Towards a Dynamic Decomposition of CSPs with Separators of Bounded Size
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    Chapter 21 Constraint Programming for Strictly Convex Integer Quadratically-Constrained Problems
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    Chapter 22 A Global Constraint for Closed Frequent Pattern Mining
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    Chapter 23 Clique and Constraint Models for Maximum Common (Connected) Subgraph Problems
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    Chapter 24 Tightening McCormick Relaxations for Nonlinear Programs via Dynamic Multivariate Partitioning
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    Chapter 25 Parallel Strategies Selection
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    Chapter 26 Learning Parameters for the Sequence Constraint from Solutions
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    Chapter 27 The PPSZ Algorithm for Constraint Satisfaction Problems on More Than Two Colors
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    Chapter 28 Explaining Producer/Consumer Constraints
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    Chapter 29 Learning from Learning Solvers
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    Chapter 30 On Incremental Core-Guided MaxSAT Solving
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    Chapter 31 Modelling and Solving Multi-mode Resource-Constrained Project Scheduling
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    Chapter 32 A Nearly Exact Propagation Algorithm for Energetic Reasoning in \(\mathcal O(n^2 \log n)\)
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    Chapter 33 Efficient Filtering for the Unary Resource with Family-Based Transition Times
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    Chapter 34 A Constraint Programming Approach to Multi-Robot Task Allocation and Scheduling in Retirement Homes
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    Chapter 35 Optimal Performance Tuning in Real-Time Systems Using Multi-objective Constrained Optimization
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    Chapter 36 SABIO: An Implementation of MIP and CP for Interactive Soccer Queries
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    Chapter 37 Constraint Programming Models for Chosen Key Differential Cryptanalysis
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    Chapter 38 Solving a Supply-Delivery Scheduling Problem with Constraint Programming
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    Chapter 39 Four-Bar Linkage Synthesis Using Non-convex Optimization
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    Chapter 40 Using Constraint Programming for the Urban Transit Crew Rescheduling Problem
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    Chapter 41 Optimizing Shortwave Radio Broadcast Resource Allocation via Pseudo-Boolean Constraint Solving and Local Search
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    Chapter 42 Availability Optimization in Cloud-Based In-Memory Data Grids
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    Chapter 43 Online HVAC-Aware Occupancy Scheduling with Adaptive Temperature Control
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    Chapter 44 Behavior Identification in Two-Stage Games for Incentivizing Citizen Science Exploration
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    Chapter 45 Constraining Redundancy to Improve Protein Docking
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    Chapter 46 Guaranteed Weighted Counting for Affinity Computation: Beyond Determinism and Structure
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    Chapter 47 Finding Alternative Musical Scales
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    Chapter 48 Assisted Lead Sheet Composition Using FlowComposer
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    Chapter 49 Enforcing Structure on Temporal Sequences: The Allen Constraint
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    Chapter 50 Constraint Programming Approach to the Problem of Generating Milton Babbitt’s All-Partition Arrays
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    Chapter 51 A Dynamic Programming-Based MCMC Framework for Solving DCOPs with GPUs
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    Chapter 52 Morphing Between Stable Matching Problems
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    Chapter 53 Using Graph-Based CSP to Solve the Address Translation Problem
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    Chapter 54 Finding Unsatisfiable Cores of a Set of Polynomials Using the Gröbner Basis Algorithm
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

1 news outlet
4 tweeters


1 Dimensions

Readers on

17 Mendeley
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Principles and Practice of Constraint Programming
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-44953-1
978-3-31-944952-4, 978-3-31-944953-1

Michel Rueher

Twitter Demographics

The data shown below were collected from the profiles of 4 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 12%
Unknown 15 88%
Readers by discipline Count As %
Computer Science 1 6%
Engineering 1 6%
Unknown 15 88%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 15 October 2018.
All research outputs
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Altmetric has tracked 13,628,925 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,329 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 262,580 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.