10,536 research outputs found
Constant approximation algorithms for embedding graph metrics into trees and outerplanar graphs
In this paper, we present a simple factor 6 algorithm for approximating the
optimal multiplicative distortion of embedding a graph metric into a tree
metric (thus improving and simplifying the factor 100 and 27 algorithms of
B\v{a}doiu, Indyk, and Sidiropoulos (2007) and B\v{a}doiu, Demaine, Hajiaghayi,
Sidiropoulos, and Zadimoghaddam (2008)). We also present a constant factor
algorithm for approximating the optimal distortion of embedding a graph metric
into an outerplanar metric. For this, we introduce a general notion of metric
relaxed minor and show that if G contains an alpha-metric relaxed H-minor, then
the distortion of any embedding of G into any metric induced by a H-minor free
graph is at meast alpha. Then, for H=K_{2,3}, we present an algorithm which
either finds an alpha-relaxed minor, or produces an O(alpha)-embedding into an
outerplanar metric.Comment: 27 pages, 4 figires, extended abstract to appear in the proceedings
of APPROX-RANDOM 201
A New Framework for Network Disruption
Traditional network disruption approaches focus on disconnecting or
lengthening paths in the network. We present a new framework for network
disruption that attempts to reroute flow through critical vertices via vertex
deletion, under the assumption that this will render those vertices vulnerable
to future attacks. We define the load on a critical vertex to be the number of
paths in the network that must flow through the vertex. We present
graph-theoretic and computational techniques to maximize this load, firstly by
removing either a single vertex from the network, secondly by removing a subset
of vertices.Comment: Submitted for peer review on September 13, 201
A node-capacitated Okamura-Seymour theorem
The classical Okamura-Seymour theorem states that for an edge-capacitated,
multi-commodity flow instance in which all terminals lie on a single face of a
planar graph, there exists a feasible concurrent flow if and only if the cut
conditions are satisfied. Simple examples show that a similar theorem is
impossible in the node-capacitated setting. Nevertheless, we prove that an
approximate flow/cut theorem does hold: For some universal c > 0, if the node
cut conditions are satisfied, then one can simultaneously route a c-fraction of
all the demands. This answers an open question of Chekuri and Kawarabayashi.
More generally, we show that this holds in the setting of multi-commodity
polymatroid networks introduced by Chekuri, et. al. Our approach employs a new
type of random metric embedding in order to round the convex programs
corresponding to these more general flow problems.Comment: 30 pages, 5 figure
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