Analysis visualization tools constraint de deransart pierre (11 resultados)
Analysis and Visualization Tools for Constraint Programming : Constraint Debugging
Deransart, Pierre (EDT); Hermenegildo, Manuel V. (EDT); Maluszynski, Jan (EDT); Mauszynski, J. (EDT)
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Librería: Chiron Media, Wallingford, , Reino UnidoChiron Media
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Analysis and Visualization Tools for Constraint Programming : Constraint Debugging
Deransart, Pierre (EDT); Hermenegildo, Manuel V. (EDT); Maluszynski, Jan (EDT); Mauszynski, J. (EDT)
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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Analysis and Visualization Tools for Constraint Programming : Constraint Debugging
Deransart, Pierre (EDT); Hermenegildo, Manuel V. (EDT); Maluszynski, Jan (EDT); Mauszynski, J. (EDT)
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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Analysis and Visualization Tools for Constraint Programming : Constraint Debugging
Deransart, Pierre (EDT); Hermenegildo, Manuel V. (EDT); Maluszynski, Jan (EDT); Mauszynski, J. (EDT)
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 66,39
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 varia…bles 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 software technology has gained the most prominence, bene ting, among other things, from sustained funding from both industry and public R&D programs over the past dozen years. These investments have already paid o , resulting in a number of popular commercial solutions as well as the creation of several successful European startups.
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Librería: preigu, Osnabrück, Alemaniapreigu
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Taschenbuch. Condición: Neu. Analysis and Visualization Tools for Constraint Programming | Constraint Debugging | Pierre Deransart (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2000 | Springer | EAN 9783540411376 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 6…9115 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 o…f 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 software technology has gained the most prominence, bene ting, among other things, from sustained funding from both industry and public R&D programs over the past dozen years. These investments have already paid o , resulting in a number of popular commercial solutions as well as the creation of several successful European startups. 392 pp. Englisch.
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Librería: moluna, Greven, , Alemaniamoluna
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 whos.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 de…cision 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 software technology has gained the most prominence, bene ting, among other things, from sustained funding from both industry and public R&D programs over the past dozen years. These investments have already paid o , resulting in a number of popular commercial solutions as well as the creation of several successful European startups.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 392 pp. Englisch.
