Loading…
View-based propagation of decomposable constraints
Constraints that may be obtained by composition from simpler constraints are present, in some way or another, in almost every constraint program. The decomposition of such constraints is a standard technique for obtaining an adequate propagation algorithm from a combination of propagators designed f...
Saved in:
Published in: | arXiv.org 2013-01 |
---|---|
Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | |
container_issue | |
container_start_page | |
container_title | arXiv.org |
container_volume | |
creator | Correia, Marco Barahona, Pedro |
description | Constraints that may be obtained by composition from simpler constraints are present, in some way or another, in almost every constraint program. The decomposition of such constraints is a standard technique for obtaining an adequate propagation algorithm from a combination of propagators designed for simpler constraints. The decomposition approach is appealing in several ways. Firstly because creating a specific propagator for every constraint is clearly infeasible since the number of constraints is infinite. Secondly, because designing a propagation algorithm for complex constraints can be very challenging. Finally, reusing existing propagators allows to reduce the size of code to be developed and maintained. Traditionally, constraint solvers automatically decompose constraints into simpler ones using additional auxiliary variables and propagators, or expect the users to perform such decomposition themselves, eventually leading to the same propagation model. In this paper we explore views, an alternative way to create efficient propagators for such constraints in a modular, simple and correct way, which avoids the introduction of auxiliary variables and propagators. |
doi_str_mv | 10.48550/arxiv.1301.4272 |
format | article |
fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_2084997279</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2084997279</sourcerecordid><originalsourceid>FETCH-LOGICAL-a519-56004de357741c90c682065b0d36f399adfb96a0ab81656b298f20943cb32043</originalsourceid><addsrcrecordid>eNotjk1Lw0AUABdBaKm99xjwnPj2vf08SvELCh4Ur-XtZiMpNRuzqfrzLehpbjMjxEZCo5zWcMPTT__VSALZKLR4IZZIJGunEBdiXcoBANBY1JqWAt_69F0HLqmtximP_M5zn4cqd1WbYv4Yc-FwTFXMQ5kn7oe5XInLjo8lrf-5Ei_3d6_bx3r3_PC0vd3VrKWvtQFQbSJtrZLRQzQOwegALZmOvOe2C94wcHDSaBPQuw7BK4qBEBStxPWf9Xz1eUpl3h_yaRrOwT2CU95btJ5-ATTuRG4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2084997279</pqid></control><display><type>article</type><title>View-based propagation of decomposable constraints</title><source>ProQuest - Publicly Available Content Database</source><creator>Correia, Marco ; Barahona, Pedro</creator><creatorcontrib>Correia, Marco ; Barahona, Pedro</creatorcontrib><description>Constraints that may be obtained by composition from simpler constraints are present, in some way or another, in almost every constraint program. The decomposition of such constraints is a standard technique for obtaining an adequate propagation algorithm from a combination of propagators designed for simpler constraints. The decomposition approach is appealing in several ways. Firstly because creating a specific propagator for every constraint is clearly infeasible since the number of constraints is infinite. Secondly, because designing a propagation algorithm for complex constraints can be very challenging. Finally, reusing existing propagators allows to reduce the size of code to be developed and maintained. Traditionally, constraint solvers automatically decompose constraints into simpler ones using additional auxiliary variables and propagators, or expect the users to perform such decomposition themselves, eventually leading to the same propagation model. In this paper we explore views, an alternative way to create efficient propagators for such constraints in a modular, simple and correct way, which avoids the introduction of auxiliary variables and propagators.</description><identifier>EISSN: 2331-8422</identifier><identifier>DOI: 10.48550/arxiv.1301.4272</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Algorithms ; Decomposition ; Propagation ; Solvers</subject><ispartof>arXiv.org, 2013-01</ispartof><rights>2013. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2084997279?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>780,784,25753,27925,37012,44590</link.rule.ids></links><search><creatorcontrib>Correia, Marco</creatorcontrib><creatorcontrib>Barahona, Pedro</creatorcontrib><title>View-based propagation of decomposable constraints</title><title>arXiv.org</title><description>Constraints that may be obtained by composition from simpler constraints are present, in some way or another, in almost every constraint program. The decomposition of such constraints is a standard technique for obtaining an adequate propagation algorithm from a combination of propagators designed for simpler constraints. The decomposition approach is appealing in several ways. Firstly because creating a specific propagator for every constraint is clearly infeasible since the number of constraints is infinite. Secondly, because designing a propagation algorithm for complex constraints can be very challenging. Finally, reusing existing propagators allows to reduce the size of code to be developed and maintained. Traditionally, constraint solvers automatically decompose constraints into simpler ones using additional auxiliary variables and propagators, or expect the users to perform such decomposition themselves, eventually leading to the same propagation model. In this paper we explore views, an alternative way to create efficient propagators for such constraints in a modular, simple and correct way, which avoids the introduction of auxiliary variables and propagators.</description><subject>Algorithms</subject><subject>Decomposition</subject><subject>Propagation</subject><subject>Solvers</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNotjk1Lw0AUABdBaKm99xjwnPj2vf08SvELCh4Ur-XtZiMpNRuzqfrzLehpbjMjxEZCo5zWcMPTT__VSALZKLR4IZZIJGunEBdiXcoBANBY1JqWAt_69F0HLqmtximP_M5zn4cqd1WbYv4Yc-FwTFXMQ5kn7oe5XInLjo8lrf-5Ei_3d6_bx3r3_PC0vd3VrKWvtQFQbSJtrZLRQzQOwegALZmOvOe2C94wcHDSaBPQuw7BK4qBEBStxPWf9Xz1eUpl3h_yaRrOwT2CU95btJ5-ATTuRG4</recordid><startdate>20130117</startdate><enddate>20130117</enddate><creator>Correia, Marco</creator><creator>Barahona, Pedro</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20130117</creationdate><title>View-based propagation of decomposable constraints</title><author>Correia, Marco ; Barahona, Pedro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a519-56004de357741c90c682065b0d36f399adfb96a0ab81656b298f20943cb32043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Algorithms</topic><topic>Decomposition</topic><topic>Propagation</topic><topic>Solvers</topic><toplevel>online_resources</toplevel><creatorcontrib>Correia, Marco</creatorcontrib><creatorcontrib>Barahona, Pedro</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest - Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>arXiv.org</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Correia, Marco</au><au>Barahona, Pedro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>View-based propagation of decomposable constraints</atitle><jtitle>arXiv.org</jtitle><date>2013-01-17</date><risdate>2013</risdate><eissn>2331-8422</eissn><abstract>Constraints that may be obtained by composition from simpler constraints are present, in some way or another, in almost every constraint program. The decomposition of such constraints is a standard technique for obtaining an adequate propagation algorithm from a combination of propagators designed for simpler constraints. The decomposition approach is appealing in several ways. Firstly because creating a specific propagator for every constraint is clearly infeasible since the number of constraints is infinite. Secondly, because designing a propagation algorithm for complex constraints can be very challenging. Finally, reusing existing propagators allows to reduce the size of code to be developed and maintained. Traditionally, constraint solvers automatically decompose constraints into simpler ones using additional auxiliary variables and propagators, or expect the users to perform such decomposition themselves, eventually leading to the same propagation model. In this paper we explore views, an alternative way to create efficient propagators for such constraints in a modular, simple and correct way, which avoids the introduction of auxiliary variables and propagators.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><doi>10.48550/arxiv.1301.4272</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | EISSN: 2331-8422 |
ispartof | arXiv.org, 2013-01 |
issn | 2331-8422 |
language | eng |
recordid | cdi_proquest_journals_2084997279 |
source | ProQuest - Publicly Available Content Database |
subjects | Algorithms Decomposition Propagation Solvers |
title | View-based propagation of decomposable constraints |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T05%3A13%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=View-based%20propagation%20of%20decomposable%20constraints&rft.jtitle=arXiv.org&rft.au=Correia,%20Marco&rft.date=2013-01-17&rft.eissn=2331-8422&rft_id=info:doi/10.48550/arxiv.1301.4272&rft_dat=%3Cproquest%3E2084997279%3C/proquest%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-a519-56004de357741c90c682065b0d36f399adfb96a0ab81656b298f20943cb32043%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2084997279&rft_id=info:pmid/&rfr_iscdi=true |