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Optimization with Uniform Size Queries

Optimization with uniform size queries
Authors: Feige, Uriel; Tennenholtz, Moshe;

Optimization with Uniform Size Queries

Abstract

Let \(f\) be a nonnegative, monotone, submodular set function over an \(n\)-element set \(U\). A \textit{value query} to \(f\) is a set \(S \subseteq U\) and its \textit{reply} is the value \(f(S)\). The authors study the following computational problem: given a positive integer \(k\) and \(f\) as above which can only be accessed using value queries of size \(k\), output a set \(S \subseteq U\) of size \(k\) that maximizes \(f(S)\). The authors show that polynomially many such queries are sufficient to obtain an approximation ratio of 1/2, and that an approximation ratio of \((1+\varepsilon)/2\) requires a number of queries that is exponential in \(\varepsilon k\). For the special case of \textit{coverage functions}, it is shown that an approximation ratio strictly better than 1/2 is attainable with polynomially many queries of size \(k\).

Keywords

coverage function, Combinatorial optimization, maximization, conditional greedy algorithm, value query, Approximation methods and heuristics in mathematical programming, submodular function

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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!
1
Average
Average
Average
bronze