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Efficiency of Local Search

Authors: Andrei A. Bulatov; Evgeny S. Skvortsov;

Efficiency of Local Search

Abstract

The Local Search algorithm is one of the simplest heuristic algothms for solving the MAX-SAT problem. The goal of this paper is to estimate the relative error produced by this algorithm being applied to random 3-CNFs with fixed density $\varrho$. We prove that, for any $\varrho$, there is a constant c such that a weakened version of Local Search that we call One-Pass Local Search almost surely outputs an assignment containing cn+o(n) unsatisfied clauses. Then using a certain assumtion we also show this for Local Search. Although the assumption remains unproved the results well matches experiments.

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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!
4
Average
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