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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 A Novel Approach to String Constraint Solving
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    Chapter 2 Generating Linear Invariants for a Conjunction of Automata Constraints
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    Chapter 3 among Implied Constraints for Two Families of Time-Series Constraints
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    Chapter 4 Solving Constraint Satisfaction Problems Containing Vectors of Unknown Size
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    Chapter 5 An Efficient SMT Approach to Solve MRCPSP/max Instances with Tight Constraints on Resources
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    Chapter 6 Conjunctions of Among Constraints
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    Chapter 7 Clique Cuts in Weighted Constraint Satisfaction
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    Chapter 8 Arc Consistency via Linear Programming
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    Chapter 9 Combining Nogoods in Restart-Based Search
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    Chapter 10 All or Nothing: Toward a Promise Problem Dichotomy for Constraint Problems
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    Chapter 11 Kernelization of Constraint Satisfaction Problems: A Study Through Universal Algebra
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    Chapter 12 Defining and Evaluating Heuristics for the Compilation of Constraint Networks
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    Chapter 13 A Tolerant Algebraic Side-Channel Attack on AES Using CP
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    Chapter 14 On Maximum Weight Clique Algorithms, and How They Are Evaluated
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    Chapter 15 MDDs: Sampling and Probability Constraints
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    Chapter 16 An Incomplete Constraint-Based System for Scheduling with Renewable Resources
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    Chapter 17 Rotation-Based Formulation for Stable Matching
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    Chapter 18 Preference Elicitation for DCOPs
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    Chapter 19 Extending Compact-Table to Basic Smart Tables
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    Chapter 20 Constraint Programming Applied to the Multi-Skill Project Scheduling Problem
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    Chapter 21 An Optimization Model for 3D Pipe Routing with Flexibility Constraints
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    Chapter 22 Optimal Torpedo Scheduling
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    Chapter 23 Constraint Handling in Flight Planning
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    Chapter 24 NightSplitter: A Scheduling Tool to Optimize (Sub)group Activities
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    Chapter 25 Time-Aware Test Case Execution Scheduling for Cyber-Physical Systems
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    Chapter 26 Integrating ILP and SMT for Shortwave Radio Broadcast Resource Allocation and Frequency Assignment
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    Chapter 27 Constraint-Based Fleet Design Optimisation for Multi-compartment Split-Delivery Rich Vehicle Routing
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    Chapter 28 Integer and Constraint Programming for Batch Annealing Process Planning
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    Chapter 29 Minimum-Width Confidence Bands via Constraint Optimization
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    Chapter 30 Constraint Programming for Multi-criteria Conceptual Clustering
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    Chapter 31 A Declarative Approach to Constrained Community Detection
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    Chapter 32 Combining Stochastic Constraint Optimization and Probabilistic Programming
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    Chapter 33 Learning the Parameters of Global Constraints Using Branch-and-Bound
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    Chapter 34 CoverSize: A Global Constraint for Frequency-Based Itemset Mining
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    Chapter 35 A Column-Generation Algorithm for Evacuation Planning with Elementary Paths
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    Chapter 36 Job Sequencing Bounds from Decision Diagrams
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    Chapter 37 Branch-and-Check with Explanations for the Vehicle Routing Problem with Time Windows
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    Chapter 38 Solving Multiobjective Discrete Optimization Problems with Propositional Minimal Model Generation
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    Chapter 39 Analyzing Lattice Point Feasibility in UTVPI Constraints
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    Chapter 40 A Constraint Composite Graph-Based ILP Encoding of the Boolean Weighted CSP
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    Chapter 41 Reduced Cost Fixing in MaxSAT
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    Chapter 42 Weight-Aware Core Extraction in SAT-Based MaxSAT Solving
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    Chapter 43 Optimizing SAT Encodings for Arithmetic Constraints
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    Chapter 44 Constraint-Based Synthesis of Datalog Programs
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    Chapter 45 Search Strategies for Floating Point Constraint Systems
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Title
Principles and Practice of Constraint Programming
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-66158-2
ISBNs
978-3-31-966157-5, 978-3-31-966158-2
Editors

J. Christopher Beck

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 20%
Other 1 10%
Student > Ph. D. Student 1 10%
Unknown 6 60%
Readers by discipline Count As %
Philosophy 1 10%
Mathematics 1 10%
Computer Science 1 10%
Engineering 1 10%
Unknown 6 60%