
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 \(k\).
coverage function, Combinatorial optimization, maximization, conditional greedy algorithm, value query, Approximation methods and heuristics in mathematical programming, submodular function
coverage function, Combinatorial optimization, maximization, conditional greedy algorithm, value query, Approximation methods and heuristics in mathematical programming, submodular function
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