Posi-modular systems with modulotone requirements under permutation constraints

0Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Given a system (V,f,r) on a finite set V consisting of a posi-modular function f: 2 V →ℝ and a modulotone function r: 2 V →ℝ, we consider the problem of finding a minimum set R ⊂ V such that f(X)≥r(X) for all X ⊂ V-R. The problem, called the transversal problem, was introduced by Sakashita et al. [6] as a natural generalization of the source location problem and external network problem with edge-connectivity requirements in undirected graphs and hypergraphs. By generalizing [8] for the source location problem, we show that the transversal problem can be solved by a simple greedy algorithm if r is π-monotone, where a modulotone function r is π-monotone if there exists a permutation π of V such that the function associated with r satisfies p r (u,W)≥p r (v, W) for all W⊂V and u,v V with π(u)≥π(v). Here we show that any modulotone function r can be characterized by p r as r(X)= max {p r (v,W)|v X⊂V-W}. We also show the structural properties on the minimal deficient sets for the transversal problem for π-monotone function r, i.e., there exists a basic tree T for such that π(u)≤π(v) for all arcs (u,v) in T, which, as a corollary, gives an alternative proof for the correctness of the greedy algorithm for the source location problem. Furthermore, we show that a fractional version of the transversal problem can be solved by the algorithm similar to the one for the transversal problem. © 2009 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Ishii, T., & Makino, K. (2009). Posi-modular systems with modulotone requirements under permutation constraints. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5878 LNCS, pp. 473–482). https://doi.org/10.1007/978-3-642-10631-6_49

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free