𝔖 Bobbio Scriptorium
✦   LIBER   ✦

On the complexity of finding balanced oneway cuts

✍ Scribed by Uriel Feige; Orly Yahalom


Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
88 KB
Volume
87
Category
Article
ISSN
0020-0190

No coin nor oath required. For personal study only.

✦ Synopsis


A bisection of an n-vertex graph is a partition of its vertices into two sets S and T , each of size n/2. The bisection cost is the number of edges connecting the two sets. In directed graphs, the cost is the number of arcs going from S to T . Finding a minimum cost bisection is NP-hard for both undirected and directed graphs. For the undirected case, an approximation of ratio O(log 2 n) is known. We show that directed minimum bisection is not approximable at all. More specifically, we show that it is NP-hard to tell whether there exists a directed bisection of cost 0, which we call oneway bisection. In addition, we study the complexity of the problem when some slackness in the size of S is allowed, namely, (1/2Ξ΅)n |S| (1/2 + Ξ΅)n. We show that the problem is solvable in polynomial time when Ξ΅ = (1/ log n), and provide evidence that the problem is not solvable in polynomial time when Ξ΅ = o(1/(log n) 4 ).


πŸ“œ SIMILAR VOLUMES


On the complexity of finding common appr
✍ Patricia A. Evans; Andrew D. Smith; H.Todd Wareham πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 323 KB

Problems associated with ΓΏnding strings that are within a speciΓΏed Hamming distance of a given set of strings occur in several disciplines. In this paper, we use techniques from parameterized complexity to assess non-polynomial time algorithmic options and complexity for the COMMON APPROXIMATE SUBST

On finding the K best cuts in a network
✍ Horst W. Hamacher; Jean-Claude Picard; Maurice Queyranne πŸ“‚ Article πŸ“… 1984 πŸ› Elsevier Science 🌐 English βš– 145 KB
On the query complexity of finding a loc
✍ A.L. Rastsvetaev; L.D. Beklemishev πŸ“‚ Article πŸ“… 2002 πŸ› Elsevier Science 🌐 English βš– 94 KB

We calculate the minimal number of queries sufficient to find a local maximum point of a function on a discrete interval, for a model with M parallel queries, M 1. Matching upper and lower bounds are obtained. The bounds are formulated in terms of certain Fibonacci type sequences of numbers.