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Submodular Minimization via Pathwidth

Authors: Hiroshi Nagamochi;

Submodular Minimization via Pathwidth

Abstract

In this paper, we present a submodular minimization algorithm based on a new relationship between minimizers of a submodular set function and pathwidth defined on submodular set functions. Given a submodular set function f on a finite set V with n ≥2 elements and an ordered pair s ,t ∈V , let λ s ,t denote the minimum f (X ) over all sets X with s ∈X ⊆V −{t }. The pathwidth Λ(σ ) of a sequence σ of all n elements in V is defined to be the maximum f (V (σ ′)) over all nonempty and proper prefixes σ ′ of σ , where V (σ ′) denotes the set of elements occurred in σ ′. The pathwidth Λs ,t of f from s to t is defined to be the minimum pathwidth Λ(σ ) over all sequences σ of V which start with element s and end up with t . Given a real k ≥f ({s }), our algorithm checks whether Λs ,t ≤k or not and computes λ s ,t (when Λs ,t ≤k ) in O (n Δ(k )+1) oracle-time, where Δ(k ) is the number of distinct values of f (X ) with f (X )≤k overall sets X with s ∈X ⊆V −{t }.

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citations
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!
1
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