Abstract domains in constraint programming:
Constraint Programming aims at solving hard combinatorial problems, with a computation time increasing in practice exponentially. The methods are today efficient enough to solve large industrial problems, in a generic framework. However, solvers are dedicated to a single variable type: integer or re...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
London, UK
ISTE Press
2015
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Schlagworte: | |
Online-Zugang: | FLA01 Volltext |
Zusammenfassung: | Constraint Programming aims at solving hard combinatorial problems, with a computation time increasing in practice exponentially. The methods are today efficient enough to solve large industrial problems, in a generic framework. However, solvers are dedicated to a single variable type: integer or real. Solving mixed problems relies on ad hoc transformations. In another field, Abstract Interpretation offers tools to prove program properties, by studying an abstraction of their concrete semantics, that is, the set of possible values of the variables during an execution. Various representations for these abstractions have been proposed. They are called abstract domains. Abstract domains can mix any type of variables, and even represent relations between the variables. In this work, we define abstract domains for Constraint Programming, so as to build a generic solving method, dealing with both integer and real variables. We also study the octagons abstract domain, already defined in Abstract Interpretation. Guiding the search by the octagonal relations, we obtain good results on a continuous benchmark. We also define our solving method using Abstract Interpretation techniques, in order to include existing abstract domains. Our solver, AbSolute, is able to solve mixed problems and use relational domains |
Beschreibung: | Includes bibliographical references and index |
Beschreibung: | 1 online resource |
ISBN: | 9780081004647 0081004648 |
Internformat
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Datensatz im Suchindex
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any_adam_object | |
author | Pelleau, Marie |
author_facet | Pelleau, Marie |
author_role | aut |
author_sort | Pelleau, Marie |
author_variant | m p mp |
building | Verbundindex |
bvnumber | BV046126845 |
collection | ZDB-33-ESD |
ctrlnum | (ZDB-33-ESD)ocn909525346 (OCoLC)909525346 (DE-599)BVBBV046126845 |
dewey-full | 005.1/16 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 005 - Computer programming, programs, data, security |
dewey-raw | 005.1/16 |
dewey-search | 005.1/16 |
dewey-sort | 15.1 216 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
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spelling | Pelleau, Marie Verfasser aut Abstract domains in constraint programming Marie Pelleau London, UK ISTE Press 2015 1 online resource txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index Constraint Programming aims at solving hard combinatorial problems, with a computation time increasing in practice exponentially. The methods are today efficient enough to solve large industrial problems, in a generic framework. However, solvers are dedicated to a single variable type: integer or real. Solving mixed problems relies on ad hoc transformations. In another field, Abstract Interpretation offers tools to prove program properties, by studying an abstraction of their concrete semantics, that is, the set of possible values of the variables during an execution. Various representations for these abstractions have been proposed. They are called abstract domains. Abstract domains can mix any type of variables, and even represent relations between the variables. In this work, we define abstract domains for Constraint Programming, so as to build a generic solving method, dealing with both integer and real variables. We also study the octagons abstract domain, already defined in Abstract Interpretation. Guiding the search by the octagonal relations, we obtain good results on a continuous benchmark. We also define our solving method using Abstract Interpretation techniques, in order to include existing abstract domains. Our solver, AbSolute, is able to solve mixed problems and use relational domains COMPUTERS / Programming / General bisacsh Constraint programming (Computer science) fast Constraint programming (Computer science) 1\p (DE-588)1071861417 Konferenzschrift gnd-content Erscheint auch als Druck-Ausgabe 1785480103 Erscheint auch als Druck-Ausgabe 9781785480102 http://www.sciencedirect.com/science/book/9781785480102 Verlag URL des Erstveröffentlichers Volltext text file rda 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Pelleau, Marie Abstract domains in constraint programming COMPUTERS / Programming / General bisacsh Constraint programming (Computer science) fast Constraint programming (Computer science) |
subject_GND | (DE-588)1071861417 |
title | Abstract domains in constraint programming |
title_auth | Abstract domains in constraint programming |
title_exact_search | Abstract domains in constraint programming |
title_full | Abstract domains in constraint programming Marie Pelleau |
title_fullStr | Abstract domains in constraint programming Marie Pelleau |
title_full_unstemmed | Abstract domains in constraint programming Marie Pelleau |
title_short | Abstract domains in constraint programming |
title_sort | abstract domains in constraint programming |
topic | COMPUTERS / Programming / General bisacsh Constraint programming (Computer science) fast Constraint programming (Computer science) |
topic_facet | COMPUTERS / Programming / General Constraint programming (Computer science) Konferenzschrift |
url | http://www.sciencedirect.com/science/book/9781785480102 |
work_keys_str_mv | AT pelleaumarie abstractdomainsinconstraintprogramming |