𝔖 Bobbio Scriptorium
✦   LIBER   ✦

The multi-integer set cover and the facility terminal cover problem

✍ Scribed by Dorit S. Hochbaum; Asaf Levin


Publisher
John Wiley and Sons
Year
2009
Tongue
English
Weight
86 KB
Volume
53
Category
Article
ISSN
0028-3045

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

The facility terminal cover problem is a generalization of the vertex cover problem. The problem is to “cover” the edges of an undirected graph G = (V,E) where each edge e is associated with a non‐negative demand d~e~. An edge e = u,v is covered if at least one of its endpoint vertices is allocated capacity of at least d~e~. Each vertex v is associated with a non‐negative weight w~v~. The goal is to allocate capacity c~v~ ≥ 0 to each vertex v so that all edges are covered and the total allocation cost, $\sum\limits_{v\in V}w_{v}c_{v}$, is minimized. A recent paper by Xu et al. [Networks 50 (2007), 118‐126], studied this problem, and presented a 2__e__‐ approximation algorithm for this problem for e the base of the natural logarithm. We generalize here the facility terminal cover problem to the multi‐integer set cover, and relate that problem to the set cover problem, which it generalizes, and the multi‐cover problem. We present a Δ‐approximation algorithm for the multi‐integer set cover problem, for Δ the maximum coverage. This demonstrates that even though the multi‐integer set cover problem generalizes the set cover problem, the same approximation ratio holds. In the special case of the facility terminal cover problem this yields a 2‐approximation algorithm, and with run time dominated by the sorting of the edge demands. This approximation algorithm improves considerably on the result of Xu et al. © 2008 Wiley Periodicals, Inc. NETWORKS, 2009


📜 SIMILAR VOLUMES


A generalization of the weighted set cov
✍ Jian Yang; Joseph Y-T. Leung 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 122 KB

## Abstract We study a generalization of the weighted set covering problem where every element needs to be covered multiple times. When no set contains more than two elements, we can solve the problem in polynomial time by solving a corresponding weighted perfect __b__‐matching problem. In general,

The equivalence of general set-covering
✍ Stephen E. Bechtold; Larry W. Jacobs 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 808 KB

In a recent article we demonstrated that implicit optimal modeling for shift scheduling (P2) has inherent size and execution time advantages over the general set-covering formulation for shift scheduling (PI ) [ 1 I, 131. We postulated that the absence of extraordinary overlap (EO) was a requirement

Cover inequalities for robust knapsack s
✍ Olivier Klopfenstein; Dritan Nace 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 226 KB

## Abstract The robust optimization framework proposed by Bertsimas and Sim accounts for data uncertainty in integer linear programs. This article investigates the polyhedral impacts of this robust model for the 0‐1 knapsack problem. In particular, classical cover cuts are adapted to provide valid

Face Covers and the Genus Problem for Ap
✍ Bojan Mohar 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 198 KB

A graph G is an apex graph if it contains a vertex w such that G&w is a planar graph. It is easy to see that the genus g(G) of the apex graph G is bounded above by {&1, where { is the minimum face cover of the neighbors of w, taken over all planar embeddings of G&w. The main result of this paper is