Results 1 to 10 of about 151,821 (357)
The role of commutativity in constraint propagation algorithms [PDF]
Constraing propagation algorithms form an important part of most of the constraint programming systems. We provide here a simple, yet very general framework that allows us to explain several constraint propagation algorithms in a systematic way. In this framework we proceed in two steps.
Krzysztof R. Apt
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Filtering algorithms for global chance constraints
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Brahim Hnich +3 more
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Filtering Algorithms for the NValue Constraint [PDF]
The NValue constraint counts the number of different values assigned to a vector of variables. Propagating generalized arc consistency on this constraint is NP-hard. We show that computing even the lower bound on the number of values is NP-hard. We therefore study different approximation heuristics for this problem.
Christian Bessiere +4 more
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The Geometry of Algorithms with Orthogonality Constraints [PDF]
In this paper we develop new Newton and conjugate gradient algorithms on the Grassmann and Stiefel manifolds. These manifolds represent the constraints that arise in such areas as the symmetric eigenvalue problem, nonlinear eigenvalue problems, electronic structures computations, and signal processing. In addition to the new algorithms, we show how the
Alan Edelman +2 more
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Fast Algorithms for Denial Constraint Discovery [PDF]
Denial constraints (DCs) are an integrity constraint formalism widely used to detect inconsistencies in data. Several algorithms have been devised to discover DCs from data, as manually specifying them is burdensome and, worse yet, error-prone. The existing algorithms follow two basic steps: building an intermediate data structure from records, then ...
Pena, Eduardo H. M. +2 more
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The Range Constraint: Algorithms and Implementation [PDF]
N ...
Christian Bessiere +4 more
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Dominance Constraints: Algorithms and Complexity [PDF]
Dominance constraints for finite tree structures are widely used in several areas of computational linguistics including syntax, semantics, and discourse. In this paper, we investigate algorithmic and complexity questions for dominance constraints and their first-order theory.
Alexander Koller +2 more
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Evolving algorithms for constraint satisfaction [PDF]
This paper proposes a framework for automatically evolving constraint satisfaction algorithms using genetic programming. The aim is to overcome the difficulties associated with matching algorithms to specific constraint satisfaction problems. A representation is introduced that is suitable for genetic programming and that can handle both complete and ...
Stuart Bain +2 more
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Quantified Constraints: Algorithms and Complexity
The standard constraint satisfaction problem over an arbitrary finite domain can be expressed as follows: given a first-order sentence consisting of a conjunction of predicates, where all of the variables are existentially quantified, determine whether the sentence is true.
Borner, F +3 more
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