Generating Models of a Matched Formula with a Polynomial Delay
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F16%3A00450591" target="_blank" >RIV/67985807:_____/16:00450591 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/16:10331409
Result on the web
<a href="http://dx.doi.org/10.1613/jair.4989" target="_blank" >http://dx.doi.org/10.1613/jair.4989</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1613/jair.4989" target="_blank" >10.1613/jair.4989</a>
Alternative languages
Result language
angličtina
Original language name
Generating Models of a Matched Formula with a Polynomial Delay
Original language description
A matched formula is a CNF formula, such that the system of the sets of the variables, which appear in individual clauses, has a system of distinct representatives. Such a formula is always satisfiable. Matched formulas are used, for example, in the area of parametrized complexity. We prove that the problem of counting the number of the models (satisfying assignments) of a matched formula is #P-complete. On the other hand, we define a class of formulas generalizing the matched formulas and prove that for a formula in this class, one can choose in polynomial time a variable suitable for splitting the tree for the search of the models of the formula. As a consequence, the models of a formula from this class, in particular of any matched formula, can be generated sequentially with a delay polynomial in the size of the input. On the other hand, we prove that this task cannot be performed efficiently for the linearly satisfiable formulas, which is a generalization of matched formulas containing the class considered above.
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
—
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Artificial Intelligence Research
ISSN
1076-9757
e-ISSN
—
Volume of the periodical
56
Issue of the periodical within the volume
6
Country of publishing house
US - UNITED STATES
Number of pages
24
Pages from-to
379-402
UT code for WoS article
000380245500001
EID of the result in the Scopus database
2-s2.0-84979901439