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Electronic Journal of Combinatorics
Article . 1994 . Peer-reviewed
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Article . 1994
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https://dx.doi.org/10.48550/ar...
Article . 1993
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Article . 2022
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The Sandwich Theorem

The sandwich theorem
Authors: Donald E. Knuth;

The Sandwich Theorem

Abstract

This report contains expository notes about a function $\theta(G)$ that is popularly known as the Lovász number of a graph $G$. There are many ways to define $\theta(G)$, and the surprising variety of different characterizations indicates in itself that $\theta(G)$ should be interesting. But the most interesting property of $\theta(G)$ is probably the fact that it can be computed efficiently, although it lies "sandwiched" between other classic graph numbers whose computation is NP-hard. I have tried to make these notes self-contained so that they might serve as an elementary introduction to the growing literature on Lovász's fascinating function.

Keywords

sandwich theorem, Lovász number, Lovász function, Computational aspects related to convexity, Graph labelling (graceful graphs, bandwidth, etc.), Coloring of graphs and hypergraphs, Graph theory (including graph drawing) in computer science, FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), graph numbers

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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!
157
Top 10%
Top 1%
Top 10%
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