dc.contributor.author |
Dawson, S |
en |
dc.contributor.author |
Ramakrishnan, C |
en |
dc.contributor.author |
Ramakrishnan, I |
en |
dc.contributor.author |
Sagonas, K |
en |
dc.contributor.author |
Skiena, S |
en |
dc.contributor.author |
Swift, T |
en |
dc.contributor.author |
Warren, D |
en |
dc.date.accessioned |
2014-03-01T02:48:19Z |
|
dc.date.available |
2014-03-01T02:48:19Z |
|
dc.date.issued |
1995 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/33728 |
|
dc.subject |
Indexation |
en |
dc.subject |
Logic Programs |
en |
dc.subject |
Performance Improvement |
en |
dc.subject |
Polynomial Time Algorithm |
en |
dc.subject |
Programming Language |
en |
dc.subject |
Set Theory |
en |
dc.subject |
Source Code |
en |
dc.title |
Unification factoring for efficient execution of logic programs |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1145/199448.199509 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1145/199448.199509 |
en |
heal.publicationDate |
1995 |
en |
heal.abstract |
The efficiency of resolution-based logic programming languages, such as Prolog, depends critically on selecting and executing sets of applicable clause heads to resolve against subgoals. Traditional approaches to this problem have focused on using indexing to determine the smallest possible applicable set. Despite their usefulness, these approaches ignore the non-determinism inherent in many programming languages to the extent that they |
en |
heal.journalName |
ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages |
en |
dc.identifier.doi |
10.1145/199448.199509 |
en |