Results 11 to 20 of about 917,424 (269)
Approachability with constraints [PDF]
We study approachability theory in the presence of constraints. Given a repeated game with vector payoffs, we characterize the pairs of sets (A,D) in the payoff space such that Player 1 can guarantee that the long-run average payoff converges to the set A, while the average payoff always remains in D.
Gaëtan Fournier +4 more
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Constraint propagation on quadratic constraints [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ferenc Domes, Arnold Neumaier
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This article recounts the story of constraint programming, one of the most remarkable and enduring scientific contributions of Alain Colmerauer. It is a personal story, having lived through, and contributed to, the events that are reported here.
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A wide range of counting and occurrence constraints can be specified with just two global primitives: the Range constraint, which computes the range of values used by a sequence of variables, and the Roots constraint, which computes the variables mapping onto a set of values. We focus here on the Roots constraint.
Christian Bessiere +4 more
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The Influence of Equipment and Environment on Children and Young Adults Learning Aquatic Skills
Learning aquatic skills is an important component of developing physical literacy in children. Aquatic skills such as floating, swimming and safe entry/exit promote engagement in different water environments and may help preserve lives in an emergency ...
Tina van Duijn +6 more
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Implied Constraints for Automaton Constraints
Automata allow many constraints on sequences of variables to be specified in a high-level way for constraint programming solvers. An automaton with accumulators induces a decomposition of the specified constraint into a conjunction of constraints with existing inference algorithms, called propagators.
María Andreína Francisco Rodríguez +2 more
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Hot pepper (Capsicum spp.) is an important cash crop in Rwanda however, its productivity can only increase after addressing factors that limit its production.
Bancy Waithira Waweru +4 more
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Constraint programming is used to model and solve complex combina- torial problems. The modeling task requires some expertise in constraint programming. This requirement is a bottleneck to the broader uptake of constraint technology. Several approaches have been proposed to assist the non-expert user in the modelling task. This paper presents the basic
Bessiere, Christian +3 more
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We present a fluid simulation method based on Smoothed Particle Hydrodynamics (SPH) in which incompressibility and boundary conditions are enforced using holonomic kinematic constraints on the density. This formulation enables systematic multiphysics integration in which interactions are modeled via similar constraints between the fluid pseudoparticles
Kenneth Bodin +2 more
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Constraints on Constraints: Surveying the Epigenetic Landscape [PDF]
It is now relatively commonplace to advocate the need for some sorts of constraints on learning and knowledge acquisition. The critical issues to cognitive science concern the sorts of constraints that are able to best model various phenomena of learning and development. Four types of constraints on learning are proposed to be used as an interpretative
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