TINGE
发表于 2025-3-21 16:57:42
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Polydipsia
发表于 2025-3-21 20:54:11
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Acetaldehyde
发表于 2025-3-22 03:20:52
Interval constraint logic programming,aint solving over continuous and discrete quantities, we establish a strong ling between approximations and local consistency notions and show that arc-consistency is an instance of the approximation framework. We finally describe recent work on different variants of the initial algorithm proposed b
相一致
发表于 2025-3-22 04:48:46
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inhumane
发表于 2025-3-22 10:08:34
International Studies in Entrepreneurshipl-known abstract domain . showing that combining finite domain symbolic constraints with bottom-up abstract interpretation provides analyses that are at the same time accurate, efficient and specializable. (Such analyses are called on-line, goal-independent or condensing.)
Charitable
发表于 2025-3-22 14:10:51
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Charitable
发表于 2025-3-22 20:40:48
Abstract interpretation and finite domain symbolic constraints,l-known abstract domain . showing that combining finite domain symbolic constraints with bottom-up abstract interpretation provides analyses that are at the same time accurate, efficient and specializable. (Such analyses are called on-line, goal-independent or condensing.)
pineal-gland
发表于 2025-3-23 00:28:50
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organism
发表于 2025-3-23 02:00:51
Solving pseudo-Boolean constraints, the domain {0,1} originating from mathematical programming. The key concepts are the generation of strong valid inequalities for the solution set of a constraint system and the notion of branch-and-cut.
Madrigal
发表于 2025-3-23 08:35:28
Toupie: A constraint language for model checking,uations, that are not available in CLP languages. In this paper, we present, the language Toupie that is designed to solve such constraints. Toupie uses an extension of Bryant‘s binary decision diagrams to encode relations which makes it possible to handle relations with huge numbers of elements.