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Journal on Satisfiability, Boolean Modeling and Computation
Article . 2016 . Peer-reviewed
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Article . 2016
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Article . 2016
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On Exponential Lower Bounds for Partially Ordered Resolution

On exponential lower bounds for partially ordered resolution
Authors: Mikolas Janota;

On Exponential Lower Bounds for Partially Ordered Resolution

Abstract

Is well-known that the proof size in propositional resolution is sensitive to the order of how variables are resolved on. Indeed, imposing a certain resolution order can lead to an exponential blowup compared to unrestricted resolution. In this paper we study even a weaker restriction. We require that one partition of variables is resolved on before the second partition (this is a special case of a partial order). We show that this also can lead to an exponential blowup. This helps us to understand why dynamic variable orderings in SAT solvers is so successful but also it motivates further investigation in variable orderings in SAT solvers.

Keywords

Complexity of proofs, Mechanization of proofs and logical operations, lower bounds, Theorem proving (automated and interactive theorem provers, deduction, resolution, etc.), partial order, resolution, resolution order, Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.)

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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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