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Titlebook: Analysis and Visualization Tools for Constraint Programming; Constraint Debugging Pierre Deransart,Manuel V. Hermenegildo,Jan Ma?usz Book 2

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發(fā)表于 2025-3-21 16:29:12 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Analysis and Visualization Tools for Constraint Programming
期刊簡稱Constraint Debugging
影響因子2023Pierre Deransart,Manuel V. Hermenegildo,Jan Ma?usz
視頻videohttp://file.papertrans.cn/157/156289/156289.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Analysis and Visualization Tools for Constraint Programming; Constraint Debugging Pierre Deransart,Manuel V. Hermenegildo,Jan Ma?usz Book 2
影響因子Coordinating production across a supply chain, designing a new VLSI chip, allocating classrooms or scheduling maintenance crews at an airport are just a few examples of complex (combinatorial) problems that can be modeled as a set of decision variables whose values are subject to a set of constraints. The decision variables may be the time when production of a particular lot will start or the plane that a maintenance crew will be working on at a given time. Constraints may range from the number of students you can ?t in a given classroom to the time it takes to transfer a lot from one plant to another.Despiteadvancesincomputingpower,manyformsoftheseandother combinatorial problems have continued to defy conventional programming approaches. Constraint Logic Programming (CLP) ?rst emerged in the mid-eighties as a programming technique with the potential of signi?cantly reducing the time it takes to develop practical solutions to many of these problems, by combining the expressiveness of languages such as Prolog with the compu- tional power of constrained search. While the roots of CLP can be traced to Monash University in Australia, it is without any doubt in Europe that this new soft
Pindex Book 2000
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An Assertion Language for Constraint Logic Programshe program and information on the program in different ways. Also, these tools may interact among themselves and with the user. Thus, the different tools and the user need some way to communicate. It is our design principle that such communication be performed in terms of .. Assertions are syntactic
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A Generic Preprocessor for Program Validation and Debuggingrocessor prior to execution allows detecting many bugs automatically. This is achieved by performing a repertoire of tests which range from simple syntactic checks to much more advanced checks based on static analysis of the program. Together with the program, the user may provide a series of assert
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Locating Type Errors in Untyped CLP Programsprogramming language CHIP [4.10], but the idea applies to any CLP language. The tool works with approximated specifications which describe types of procedure calls and successes. The specifications are expressed as a certain kind of term grammars. The tool automatically locates at compile time all t
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Towards a Language for CLP Choice-Tree Visualisationspace. The computation space is represented by choice-trees, a notion which is commonly used to describe the search in constraint solvers. We propose a language for selecting the information to be visualised and present an algorithm to construct the corresponding view (it is a pruned choice-tree) in
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Tools for Search-Tree Visualisation: The APT Tool branches represent conjunctions and disjunctions. This tree represents the search space traversed by the program, and has also a direct relationship with the amount of work performed by the program. The nodes of the tree can be used to display information regarding the state and origin of instantia
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