A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit <a rel="external noopener" href="https://cs.uwaterloo.ca/~plragde/papers/sharpsat_AI.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
Solving #SAT using vertex covers
<span title="2007-09-03">2007</span>
<i title="Springer Nature">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cnqseeosvrf6tnj6sc3lbn2y4e" style="color: black;">Acta Informatica</a>
</i>
We propose an exact algorithm for counting the models of propositional formulas in conjunctive normal form (CNF). Our algorithm is based on the detection of strong backdoor sets of bounded size; each instantiation of the variables of a strong backdoor set puts the given formula into a class of formulas for which models can be counted in polynomial time. For the backdoor set detection we utilize an efficient vertex cover algorithm applied to a certain "obstruction graph" that we associate with
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00236-007-0056-x">doi:10.1007/s00236-007-0056-x</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/onhqc2ooj5fxjduv4ubachwn6e">fatcat:onhqc2ooj5fxjduv4ubachwn6e</a>
</span>
more »
... e given formula. This approach gives rise to a new hardness index for formulas, the clustering-width. Our algorithm runs in uniform polynomial time on formulas with bounded clustering-width. It is known that the number of models of formulas with bounded cliquewidth, bounded treewidth, or bounded branchwidth can be computed in polynomial time; these graph parameters are applied to formulas via certain (hyper)graphs associated with formulas. We show that clustering-width and the other parameters mentioned are incomparable: there are formulas with bounded clustering-width and arbitrarily large clique-width, treewidth, and branchwidth. Conversely, there are formulas with arbitrarily large clusteringwidth and bounded clique-width, treewidth, and branchwidth.
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829031114/https://cs.uwaterloo.ca/~plragde/papers/sharpsat_AI.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/a8/44/a844a70b8bbdf6502a481c6c035af94d29afe7c1.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00236-007-0056-x">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="external alternate icon"></i>
springer.com
</button>
</a>