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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/bfb001...
Part of book or chapter of book . 2005 . Peer-reviewed
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Conference object . 2017
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Simplifying clausal satisfiability problems

Authors: Barth, P.;

Simplifying clausal satisfiability problems

Abstract

Recently linear 0–1 programming methods have been successfully applied to the satisfiability problem of propositional logic. We present a preprocessing method that simplifies the linear 0–1 integer problem corresponding to a clausal satisfiability problem. Valid extended clauses, a generalization of classical clauses, are added to the problem as long as they dominate at least one extended clause of the problem. We describe how to efficiently obtain these valid extended clauses and apply the method to some combinatorial satisfiability problems. The reformulated 0–1 problems contain less but usually stronger 0–1 inequalities and are typically solved much faster than the original one with traditional 0–1 integer programming methods.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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