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Principles and Practice of Constraint Programming — CP96

Overview of attention for book
Principles and Practice of Constraint Programming — CP96
Springer Berlin Heidelberg

Table of Contents

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    Book Overview
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    Chapter 62 On confluence of Constraint Handling Rules
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    Chapter 63 A labelling arc consistency method for functional constraints
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    Chapter 64 Constraint satisfaction in optical routing for passive wavelength-routed networks
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    Chapter 65 Using CSP look-back techniques to solve exceptionally hard SAT instances
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    Chapter 66 MAC and combined heuristics: Two reasons to forsake FC (and CBJ?) on hard problems
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    Chapter 67 The independence property of a class of set constraints
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    Chapter 68 Speeding up constraint propagation by redundant modeling
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    Chapter 69 A constraint-based interactive train rescheduling tool
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    Chapter 70 Local search and the number of solutions
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    Chapter 71 Derivation of constraints and database relations
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    Chapter 72 Constraint programming: an efficient and practical approach to solving the job-shop problem
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    Chapter 73 An instance of adaptive constraint propagation
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    Chapter 74 An empirical study of dynamic variable ordering heuristics for the constraint satisfaction problem
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    Chapter 75 Empirical studies of heuristic local search for constraint solving
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    Chapter 76 Defeasibility in CLP( $$\mathcal{Q}$$ ) through generalized slack variables
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    Chapter 77 Inference duality as a basis for sensitivity analysis
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    Chapter 78 Generalized local propagation: A framework for solving constraint hierarchies
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    Chapter 79 Transformations between HCLP and PCSP
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    Chapter 80 A test for tractability
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    Chapter 81 Combination of constraint systems II: Rational amalgamation
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    Chapter 82 Tractable disjunctions of linear constraints
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    Chapter 83 Exploiting the use of DAC in MAX-CSP
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    Chapter 84 A new approach for Weighted Constraint Satisfaction: Theoretical and computational results
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    Chapter 85 Towards a more efficient stochastic constraint solver
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    Chapter 86 A view of local search in constraint programming
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    Chapter 87 From quasi-solutions to solution: An Evolutionary algorithm to solve CSP
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    Chapter 88 Existential variables and local consistency in finite domain constraint problems
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    Chapter 89 Logical semantics of concurrent constraint programming
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    Chapter 90 Solving non-binary convex CSPs in continuous domains
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    Chapter 91 An experimental comparison of three modified DeltaBlue algorithms
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    Chapter 92 Constraint Logic Programming over unions of Constraint theories
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    Chapter 93 Analysis of Hybrid systems in CLP( $$\mathcal{R}$$ )
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    Chapter 94 On query languages for linear queries definable with polynomial constraints
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    Chapter 95 Analysis of heuristic methods for partial constraint satisfaction problems
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    Chapter 96 Solving satisfiability problems using field programmable gate arrays: First results
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    Chapter 97 A constraint program for solving the job-shop problem
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    Chapter 98 PSAP — A planning system for aircraft production (extended abstract)
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    Chapter 99 Using partial arc consistency in a database environment
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    Chapter 100 Functional constraint hierarchies in CLP
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    Chapter 101 Towards an open finite domain constraint solver
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    Chapter 102 Efficient constraint propagation with good space complexity
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    Chapter 103 Anytime temporal reasoning: Preliminary report (extended abstract)
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    Chapter 104 From constraint minimization to goal optimization in CLP languages
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    Chapter 105 Looking at full looking ahead
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    Chapter 106 The arc and path consistency phase transitions
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    Chapter 107 Experiences with combining constraint programming and discrete event simulation
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    Chapter 108 Hill-climbing with local consistency for solving distributed CSPs
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    Chapter 109 Approximate algorithms for maximum utility problems
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    Chapter 110 A meta constraint logic programming architecture (extended abstract)
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    Chapter 111 N-ary consistencies and constraint-based backtracking
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    Chapter 112 Global behaviour for complex constraints
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    Chapter 113 To guess or to think? Hybrid algorithms for SAT (extended abstract)
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    Chapter 114 A local simplification scheme for cc programs
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    Chapter 115 From evaluating upper bounds of the complexity of solving CSPs to finding all the solutions of CSPs
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    Chapter 116 Modeling and solving distributed constraint satisfaction problems (DCSPs)
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    Chapter 117 Scheduling an Asynchronously Shared Resource
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    Chapter 118 The Generalized Railroad Crossing: Its symbolic analysis in CLP ( $$\mathcal{R}$$ )
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    Chapter 119 A stochastic approach to solving fuzzy constraint satisfaction problems
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    Chapter 120 Branch- and-price for solving integer programs with a huge number of variables: Methods and applications
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    Chapter 121 Constraint Databases
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    Chapter 122 Complexity-theoretic aspects of programming language design
Overall attention for this book and its chapters
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Title
Principles and Practice of Constraint Programming — CP96
Published by
Lecture notes in computer science, January 1996
DOI 10.1007/3-540-61551-2
ISBNs
978-3-54-061551-4, 978-3-54-070620-5
Authors

Eugene C. Freuder

Editors

Freuder, Eugene C.

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 May 2019.
All research outputs
#7,457,182
of 22,799,071 outputs
Outputs from Lecture notes in computer science
#2,487
of 8,127 outputs
Outputs of similar age
#16,767
of 79,210 outputs
Outputs of similar age from Lecture notes in computer science
#8
of 21 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% 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 79,210 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.