Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Multiple preprocessing for systematic SAT solvers

Simple item page
dc.contributor.authorAnbulagan, Anbu
dc.contributor.authorSlaney, John K
dc.coverage.spatialPhnom Penh Cambodia
dc.date.accessioned2015-12-07T22:44:23Z
dc.date.createdNovember 12-17 2006
dc.date.issued2006
dc.date.updated2016-02-24T11:44:21Z
dc.description.abstractHigh-performance SAT solvers based on systematic search generally use either conflict driven clause learning (CDCL) or lookahead techniques to gain efficiency. Both styles of reasoning can gain from a preprocessing phase in which some form of deduction is
dc.identifier.isbn1613-0073
dc.identifier.urihttp://hdl.handle.net/1885/25158
dc.publisherConference Organising Committee
dc.relation.ispartofseriesInternational Workshop on the Implementation of Logics (IWIL 2006)
dc.sourceProceedings of 6th International Workshop on the Implementation of Logics (IWIL-06)
dc.source.urihttp://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS//Vol-212
dc.subjectKeywords: Clause learning; Empirical examination; Gain efficiency; Preprocessing phase; SAT solvers; Systematic searches; Artificial intelligence
dc.titleMultiple preprocessing for systematic SAT solvers
dc.typeConference paper
local.bibliographicCitation.lastpage116
local.bibliographicCitation.startpage100
local.contributor.affiliationAnbulagan, Anbu, College of Engineering and Computer Science, ANU
local.contributor.affiliationSlaney, John K, College of Engineering and Computer Science, ANU
local.contributor.authoruidAnbulagan, Anbu, u4593416
local.contributor.authoruidSlaney, John K, u8800435
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080199 - Artificial Intelligence and Image Processing not elsewhere classified
local.identifier.ariespublicationu8803936xPUB36
local.identifier.scopusID2-s2.0-84884615216
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 4 of 4
Thumbnail Image
Name:
01_Anbulagan_Multiple_preprocessing_for_2006.pdf
Size:
60.55 KB
Format:
Adobe Portable Document Format
Download
Thumbnail Image
Name:
02_Anbulagan_Multiple_preprocessing_for_2006.pdf
Size:
3.45 MB
Format:
Adobe Portable Document Format
Download
Thumbnail Image
Name:
03_Anbulagan_Multiple_preprocessing_for_2006.pdf
Size:
429.43 KB
Format:
Adobe Portable Document Format
Download
Thumbnail Image
Name:
04_Anbulagan_Multiple_preprocessing_for_2006.pdf
Size:
308.45 KB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS