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Research Article Open access CC BY 4.0

Approximation Algorithms for \(\alpha\)-bisubmodular Function Maximization Subject to Matroid Constraint

Wenqi Wang

Journal of Advances in Mathematics and Computer Science · pp. 42–48 · Published 21 Feb 2023

10.9734/jamcs/2023/v38i31750

Abstract

We design an approximation algorithm for maximizing \(\alpha\)-bisubmodular function with matroid constraint, where the \(\alpha\)-bisubmodular function is a generalization of a bisubmodular function. The concept of \(\alpha\)- bisubmodularity is provided by Huber, Krokhin, and Powell [[1], 2014], rank function of delta-matroids and the cut capacity of directed networks have \(\alpha\)-bisubmodularity. We consider the two cases of the problem, monotone and non-monotone objective function, respectively. We also show that the running time is polynomial.

\(\alpha\)-bisubmodular function combinatorial optimization greedy algorithm matroid constraint

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