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Principles and Practice of Constraint Programming – CP 2011
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Editor(s):
Jimmy Lee
Publication date
(Print):
2011
Publisher:
Springer Berlin Heidelberg
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The FAIR data principles
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Book
ISBN (Print):
978-3-642-23785-0
ISBN (Electronic):
978-3-642-23786-7
Publication date (Print):
2011
DOI:
10.1007/978-3-642-23786-7
SO-VID:
2a5e9254-621e-4664-b655-4c18e99808d5
License:
http://www.springer.com/tdm
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Book chapters
pp. 12
A Constraint Seeker: Finding and Ranking Global Constraints from Examples
pp. 27
Bin Repacking Scheduling in Virtualized Datacenters
pp. 385
Grid-Based SAT Solving with Iterative Partitioning and Clause Learning
pp. 225
Solving MAXSAT by Solving a Sequence of Simpler SAT Instances
pp. 414
On Deciding MUS Membership with QBF
pp. 454
Algorithm Selection and Scheduling
pp. 508
Constraint Reasoning and Kernel Clustering for Pattern Decomposition with Scaling
pp. 621
Boolean Equi-propagation for Optimized SAT Encoding
pp. 645
Kangaroo: An Efficient Constraint-Based Local Search System Using Lazy Propagation
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