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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 Modular Architecture for Hybrid Planning with Theories
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    Chapter 2 Teaching Constraint Programming
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    Chapter 3 One Problem, Two Structures, Six Solvers, and Ten Years of Personnel Scheduling
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    Chapter 4 Concurrent Constraint Programming Research Programmes – Redux
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    Chapter 5 On Broken Triangles
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    Chapter 6 Using CP in Automatic Test Generation for ABB Robotics’ Paint Control System
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    Chapter 7 On Compiling CNF into Decision-DNNF
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    Chapter 8 A Complete Solver for Constraint Games
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    Chapter 9 Encoding Linear Constraints into SAT
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    Chapter 10 Efficient Application of Max-SAT Resolution on Inconsistent Subsets
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    Chapter 11 Sequential Time Splitting and Bounds Communication for a Portfolio of Optimization Solvers
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    Chapter 12 Scoring-Based Neighborhood Dominance for the Subgraph Isomorphism Problem
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    Chapter 13 Linking Prefixes and Suffixes for Constraints Encoded Using Automata with Accumulators
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    Chapter 14 The Propagation Depth of Local Consistency
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    Chapter 15 Principles and Practice of Constraint Programming
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    Chapter 16 Experimental Comparison of BTD and Intelligent Backtracking: Towards an Automatic Per-instance Algorithm Selector
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    Chapter 17 Solving Intensional Weighted CSPs by Incremental Optimization with BDDs
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    Chapter 18 On Backdoors to Tractable Constraint Languages
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    Chapter 19 Nested Constraint Programs
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    Chapter 20 Beyond Consistency and Substitutability
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    Chapter 21 Subexponential Time Complexity of CSP with Global Constraints
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    Chapter 22 A New Characterization of Relevant Intervals for Energetic Reasoning
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    Chapter 23 A Declarative Paradigm for Robust Cumulative Scheduling
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    Chapter 24 Improving DPOP with Branch Consistency for Solving Distributed Constraint Optimization Problems
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    Chapter 25 Constraint-Based Lagrangian Relaxation
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    Chapter 26 Loop Untangling
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    Chapter 27 Discriminating Instance Generation for Automated Constraint Model Selection
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    Chapter 28 Aggregating CP-nets with Unfeasible Outcomes
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    Chapter 29 The StockingCost Constraint
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    Chapter 30 Scalable Parallel Numerical CSP Solver
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    Chapter 31 Tree-Decompositions with Connected Clusters for Solving Constraint Networks
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    Chapter 32 CIP and MIQP Models for the Load Balancing Nurse-to-Patient Assignment Problem
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    Chapter 33 On the Erdős Discrepancy Problem
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    Chapter 34 Towards Practical Infinite Stream Constraint Programming: Applications and Implementation
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    Chapter 35 An Increasing-Nogoods Global Constraint for Symmetry Breaking During Search
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    Chapter 36 Memory-Efficient Tree Size Prediction for Depth-First Search in Graphical Models
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    Chapter 37 Higher-Order Consistencies through GAC on Factor Variables
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    Chapter 38 Incremental QBF Solving
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    Chapter 39 Incremental Cardinality Constraints for MaxSAT
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    Chapter 40 Reducing the Branching in a Branch and Bound Algorithm for the Maximum Clique Problem
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    Chapter 41 Core-Guided MaxSAT with Soft Cardinality Constraints
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    Chapter 42 The IntSat Method for Integer Linear Programming
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    Chapter 43 Automatically Improving Constraint Models in Savile Row through Associative-Commutative Common Subexpression Elimination
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    Chapter 44 Improving GAC-4 for Table and MDD Constraints
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    Chapter 45 Improvement of the Embarrassingly Parallel Search for Data Centers
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    Chapter 46 Stochastic MiniZinc
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    Chapter 47 Decomposing Utility Functions in Bounded Max-Sum for Distributed Constraint Optimization
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    Chapter 48 Insights into Parallelism with Intensive Knowledge Sharing
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    Chapter 49 The Non-overlapping Constraint between Objects Described by Non-linear Inequalities
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    Chapter 50 Improving Relational Consistency Algorithms Using Dynamic Relation Partitioning
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    Chapter 51 Domain Views for Constraint Programming
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    Chapter 52 Global Constraints in Distributed CSP: Concurrent GAC and Explanations in ABT
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    Chapter 53 The Impact of Wireless Communication on Distributed Constraint Satisfaction
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    Chapter 54 Adaptive Parameterized Consistency for Non-binary CSPs by Counting Supports
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    Chapter 55 Proactive Workload Dispatching on the EURORA Supercomputer
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    Chapter 56 Scheduling B2B Meetings
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    Chapter 57 Solving a Judge Assignment Problem Using Conjunctions of Global Cost Functions
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    Chapter 58 Worst-Case Scheduling of Software Tasks
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    Chapter 59 Continuous Casting Scheduling with Constraint Programming
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    Chapter 60 Case Study: Constraint Programming in a System Level Synthesis Framework
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    Chapter 61 Scheduling Agents Using Forecast Call Arrivals at Hydro-Québec’s Call Centers
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    Chapter 62 Deployment of Mobile Wireless Sensor Networks for Crisis Management: A Constraint-Based Local Search Approach
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    Chapter 63 Air Traffic Controller Shift Scheduling by Reduction to CSP, SAT and SAT-Related Problems
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    Chapter 64 Optimization Bounds from Binary Decision Diagrams
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    Chapter 65 Reformulation Based MaxSAT Robustness
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    Chapter 66 Probabilistic Constraints for Nonlinear Inverse Problems
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    Chapter 67 Multivalued Decision Diagrams for Sequencing Problems
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    Chapter 68 Robustness and Stability in Constraint Programming under Dynamism and Uncertainty
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    Chapter 69 Monotone Temporal Planning: Tractability, Extensions and Applications
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    Chapter 70 Anytime AND/OR Depth-First Search for Combinatorial Optimization
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    Chapter 71 View-Based Propagator Derivation
Attention for Chapter 32: CIP and MIQP Models for the Load Balancing Nurse-to-Patient Assignment Problem
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Chapter title
CIP and MIQP Models for the Load Balancing Nurse-to-Patient Assignment Problem
Chapter number 32
Book title
Principles and Practice of Constraint Programming
Published by
Springer, Cham, September 2014
DOI 10.1007/978-3-319-10428-7_32
Book ISBNs
978-3-31-910427-0, 978-3-31-910428-7
Authors

Wen-Yang Ku, Thiago Pinheiro, J. Christopher Beck, Ku, Wen-Yang, Pinheiro, Thiago, Beck, J. Christopher

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 43%
Professor 2 29%
Student > Bachelor 1 14%
Unknown 1 14%
Readers by discipline Count As %
Engineering 2 29%
Computer Science 2 29%
Nursing and Health Professions 1 14%
Unknown 2 29%