13 research outputs found
Minimum -edge strongly biconnected spanning directed subgraph problem
Wu and Grumbach introduced the concept of strongly biconnected directed
graphs. A directed graph is called strongly biconnected if the
directed graph is strongly connected and the underlying undirected graph of
is biconnected. A strongly biconnected directed graph is said to
be - edge strongly biconnected if it has at least three vertices and the
directed subgraph is strongly
biconnected for all . Let be a -edge-strongly biconnected
directed graph. In this paper we study the problem of computing a minimum size
subset such that the directed subgraph is - edge
strongly biconnected
Computing -twinless blocks
Let be a directed graph. A -twinless block in is a maximal
vertex set of size at least such that for each pair of
distinct vertices , and for each vertex , the vertices are in the same twinless strongly
connected component of .
In this paper we present algorithms for computing the -twinless blocks of
a directed graph
Minimum -vertex strongly biconnected spanning directed subgraph problem
A directed graph is strongly biconnected if is strongly
connected and its underlying graph is biconnected. A strongly biconnected
directed graph is called -vertex-strongly biconnected if and the induced subgraph on is
strongly biconnected for every vertex . In this paper we study the
following problem.
Given a -vertex-strongly biconnected directed graph , compute an
edge subset of minimum size such that the subgraph
is -vertex-strongly biconnected
-edge-twinless blocks
Let be a directed graph. A -edge-twinless block in is a
maximal vertex set with such that for any
distinct vertices , and for every edge , the vertices
are in the same twinless strongly connected component of .
In this paper we study this concept and describe algorithms for computing
-edge-twinless blocks
Computing the -blocks of directed graphs
Let be a directed graph. A \textit{-directed block} in is a
maximal vertex set with such that for each
pair of distinct vertices , there exist two vertex-disjoint
paths from to and two vertex-disjoint paths from to in . In
contrast to the -vertex-connected components of , the subgraphs induced
by the -directed blocks may consist of few or no edges. In this paper we
present two algorithms for computing the -directed blocks of in
time, where is the
number of the strong articulation points of and is the number of
the strong bridges of . Furthermore, we study two related concepts: the
-strong blocks and the -edge blocks of . We give two algorithms for
computing the -strong blocks of in time and we show that the -edge blocks of can be computed in time. In this paper we also study some
optimization problems related to the strong articulation points and the
-blocks of a directed graph. Given a strongly connected graph ,
find a minimum cardinality set such that
is strongly connected and the strong articulation points of coincide with
the strong articulation points of . This problem is called minimum
strongly connected spanning subgraph with the same strong articulation points.
We show that there is a linear time approximation algorithm for this
NP-hard problem. We also consider the problem of finding a minimum strongly
connected spanning subgraph with the same -blocks in a strongly connected
graph . We present approximation algorithms for three versions of this
problem, depending on the type of -blocks