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Titlebook: New Trends in Constraints; Joint ERCIM/Compulog Krzysztof R. Apt,Eric Monfroy,Francesca Rossi Conference proceedings 2000 Springer-Verlag B

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發(fā)表于 2025-3-21 17:12:50 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱New Trends in Constraints
副標(biāo)題Joint ERCIM/Compulog
編輯Krzysztof R. Apt,Eric Monfroy,Francesca Rossi
視頻videohttp://file.papertrans.cn/666/665908/665908.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: New Trends in Constraints; Joint ERCIM/Compulog Krzysztof R. Apt,Eric Monfroy,Francesca Rossi Conference proceedings 2000 Springer-Verlag B
描述This book constitutes the thoroughly refereed post-proceedings of the Joint ERCIM/Compulog-Net Workshop on New Trends in Constraints held in Paphos, Cyprus, Greece in October 1999. The 12 revised full research papers presented together with four surveys by leading researchers were carefully reviewed. The book is divided in topical sections on constraint propagation and manipulation, constraint programming, and rule-based constraint programming.
出版日期Conference proceedings 2000
關(guān)鍵詞Constraint; Constraint programming; constraint logic programming; constraint satisfaction; constraint so
版次1
doihttps://doi.org/10.1007/3-540-44654-0
isbn_softcover978-3-540-67885-4
isbn_ebook978-3-540-44654-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2000
The information of publication is updating

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發(fā)表于 2025-3-21 22:25:25 | 只看該作者
Interval Constraints: Results and Perspectivessed to compute inner approximations of real relations and to solve constraints with quantified variables are briefly presented, and directions for extending interval constraint techniques to solve these problems are pointed out.
板凳
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地板
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Generating Propagation Rules for Finite Domains: A Mixed Approach using a unification algorithm to compute most general solutions of constraints. In this paper, we propose a mixed approach for designing finite domain constraints solvers: it consists in using a solver based on unification to improve the generation of propagation rules.
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發(fā)表于 2025-3-22 12:03:19 | 只看該作者
Combining Constraint Logic Programming Techniques for Solving Linear Problemshe aforementioned domain splitting mechanism, while the latter is a Simplex-Like solver named CLP(Q). Each counterpart submits some services to the other in order that the coherent system improves the search efficiency and tackles their individual main defects.
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發(fā)表于 2025-3-22 16:17:47 | 只看該作者
Quantitative Observables and Averages in Probabilistic Constraint Programmings of algorithms..We base our model on the Concurrent Constraint Programming (CCP) paradigm and we argue that it can be an appropriate base for further developments oriented to the analysis and verification of average properties.
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Constraint (Logic) Programming: A Survey on Research and Applicationswhich describe some relationship between the problem’s variables. This survey paper gives a brief introduction to C(L)P, presents a (necessarily partial) state of the art in CLP research and applications, points out some promising directions for future applications, and discusses how to cope with current research challenges.
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發(fā)表于 2025-3-23 09:32:14 | 只看該作者
Some Remarks on Boolean Constraint Propagation of resolution for propositional logic..Subsequently we characterize one set of such rules by means of the notion of hyper-arc consistency introduced in Mohr & Masini (1988). Also, we clarify the status of a similar, though different, set of rules introduced in Simonis (1989) and more fully in Codognet & Diaz (1996).
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