776 research outputs found
The cavity approach for Steiner trees packing problems
The Belief Propagation approximation, or cavity method, has been recently
applied to several combinatorial optimization problems in its zero-temperature
implementation, the max-sum algorithm. In particular, recent developments to
solve the edge-disjoint paths problem and the prize-collecting Steiner tree
problem on graphs have shown remarkable results for several classes of graphs
and for benchmark instances. Here we propose a generalization of these
techniques for two variants of the Steiner trees packing problem where multiple
"interacting" trees have to be sought within a given graph. Depending on the
interaction among trees we distinguish the vertex-disjoint Steiner trees
problem, where trees cannot share nodes, from the edge-disjoint Steiner trees
problem, where edges cannot be shared by trees but nodes can be members of
multiple trees. Several practical problems of huge interest in network design
can be mapped into these two variants, for instance, the physical design of
Very Large Scale Integration (VLSI) chips. The formalism described here relies
on two components edge-variables that allows us to formulate a massage-passing
algorithm for the V-DStP and two algorithms for the E-DStP differing in the
scaling of the computational time with respect to some relevant parameters. We
will show that one of the two formalisms used for the edge-disjoint variant
allow us to map the max-sum update equations into a weighted maximum matching
problem over proper bipartite graphs. We developed a heuristic procedure based
on the max-sum equations that shows excellent performance in synthetic networks
(in particular outperforming standard multi-step greedy procedures by large
margins) and on large benchmark instances of VLSI for which the optimal
solution is known, on which the algorithm found the optimum in two cases and
the gap to optimality was never larger than 4 %
The generalized 3-edge-connectivity of lexicographic product graphs
The generalized -edge-connectivity of a graph is a
generalization of the concept of edge-connectivity. The lexicographic product
of two graphs and , denoted by , is an important graph
product. In this paper, we mainly study the generalized 3-edge-connectivity of
, and get upper and lower bounds of .
Moreover, all bounds are sharp.Comment: 14 page
On Approximability of Steiner Tree in -metrics
In the Continuous Steiner Tree problem (CST), we are given as input a set of
points (called terminals) in a metric space and ask for the minimum-cost tree
connecting them. Additional points (called Steiner points) from the metric
space can be introduced as nodes in the solution. In the Discrete Steiner Tree
problem (DST), we are given in addition to the terminals, a set of facilities,
and any solution tree connecting the terminals can only contain the Steiner
points from this set of facilities. Trevisan [SICOMP'00] showed that CST and
DST are APX-hard when the input lies in the -metric (and Hamming
metric). Chleb\'ik and Chleb\'ikov\'a [TCS'08] showed that DST is NP-hard to
approximate to factor of in the graph metric (and
consequently -metric). Prior to this work, it was unclear if CST
and DST are APX-hard in essentially every other popular metric! In this work,
we prove that DST is APX-hard in every -metric. We also prove that CST
is APX-hard in the -metric. Finally, we relate CST and DST,
showing a general reduction from CST to DST in -metrics. As an
immediate consequence, this yields a -approximation polynomial time
algorithm for CST in -metrics.Comment: Abstract shortened due to arxiv's requirement
On the Public Communication Needed to Achieve SK Capacity in the Multiterminal Source Model
The focus of this paper is on the public communication required for
generating a maximal-rate secret key (SK) within the multiterminal source model
of Csisz{\'a}r and Narayan. Building on the prior work of Tyagi for the
two-terminal scenario, we derive a lower bound on the communication complexity,
, defined to be the minimum rate of public communication needed
to generate a maximal-rate SK. It is well known that the minimum rate of
communication for omniscience, denoted by , is an upper bound on
. For the class of pairwise independent network (PIN) models
defined on uniform hypergraphs, we show that a certain "Type "
condition, which is verifiable in polynomial time, guarantees that our lower
bound on meets the upper bound. Thus, PIN
models satisfying our condition are -maximal, meaning that the
upper bound holds with equality. This allows
us to explicitly evaluate for such PIN models. We also give
several examples of PIN models that satisfy our Type condition.
Finally, we prove that for an arbitrary multiterminal source model, a stricter
version of our Type condition implies that communication from
\emph{all} terminals ("omnivocality") is needed for establishing a SK of
maximum rate. For three-terminal source models, the converse is also true:
omnivocality is needed for generating a maximal-rate SK only if the strict Type
condition is satisfied. Counterexamples exist that show that the
converse is not true in general for source models with four or more terminals.Comment: Submitted to the IEEE Transactions on Information Theory. arXiv admin
note: text overlap with arXiv:1504.0062
A Survey on Approximation in Parameterized Complexity: Hardness and Algorithms
Parameterization and approximation are two popular ways of coping with
NP-hard problems. More recently, the two have also been combined to derive many
interesting results. We survey developments in the area both from the
algorithmic and hardness perspectives, with emphasis on new techniques and
potential future research directions
Approximate min–max theorems for Steiner rooted-orientations of graphs and hypergraphs
Given an undirected hypergraph and a subset of vertices S subset of V with a specified root vertex r epsilon S, the STEINER ROOTFD-ORIENTATION problem is to find an orientation of all the hyperedges so that in the resulting directed hypergraph the "connectivity" from the root r to the vertices in S is maximized. This is motivated by a multicasting problem in undirected networks as well as a generalization of some classical problems in graph theory. The main results of this paper are the following approximate min-max relations: Given an undirected hypergraph H, if S is 2k-hyperedge-connected in H, then H has a Steiner rooted k-hyperarc-connected orientation. Given an undirected graph G, if S is 2k-element-connected in G, then G has a Steiner rooted k-element-connected orientation. Both results are tight in terms of the connectivity bounds. These also give polynomial time constant factor approximation algorithms for both problems. The proofs are based on submodular techniques, and a graph decomposition technique used in the STEINER TREE PACKING problem. Some complementary hardness results are presented at the end. (c) 2008 Elsevier Inc. All rights reserved
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