7,746 research outputs found
The List Coloring Reconfiguration Problem for Bounded Pathwidth Graphs
We study the problem of transforming one list (vertex) coloring of a graph
into another list coloring by changing only one vertex color assignment at a
time, while at all times maintaining a list coloring, given a list of allowed
colors for each vertex. This problem is known to be PSPACE-complete for
bipartite planar graphs. In this paper, we first show that the problem remains
PSPACE-complete even for bipartite series-parallel graphs, which form a proper
subclass of bipartite planar graphs. We note that our reduction indeed shows
the PSPACE-completeness for graphs with pathwidth two, and it can be extended
for threshold graphs. In contrast, we give a polynomial-time algorithm to solve
the problem for graphs with pathwidth one. Thus, this paper gives precise
analyses of the problem with respect to pathwidth
Spanning Trees in Random Satisfiability Problems
Working with tree graphs is always easier than with loopy ones and spanning
trees are the closest tree-like structures to a given graph. We find a
correspondence between the solutions of random K-satisfiability problem and
those of spanning trees in the associated factor graph. We introduce a modified
survey propagation algorithm which returns null edges of the factor graph and
helps us to find satisfiable spanning trees. This allows us to study
organization of satisfiable spanning trees in the space spanned by spanning
trees.Comment: 12 pages, 5 figures, published versio
On a generalization of iterated and randomized rounding
We give a general method for rounding linear programs that combines the
commonly used iterated rounding and randomized rounding techniques. In
particular, we show that whenever iterated rounding can be applied to a problem
with some slack, there is a randomized procedure that returns an integral
solution that satisfies the guarantees of iterated rounding and also has
concentration properties. We use this to give new results for several classic
problems where iterated rounding has been useful
The leafage of a chordal graph
The leafage l(G) of a chordal graph G is the minimum number of leaves of a
tree in which G has an intersection representation by subtrees. We obtain upper
and lower bounds on l(G) and compute it on special classes. The maximum of l(G)
on n-vertex graphs is n - lg n - (1/2) lg lg n + O(1). The proper leafage l*(G)
is the minimum number of leaves when no subtree may contain another; we obtain
upper and lower bounds on l*(G). Leafage equals proper leafage on claw-free
chordal graphs. We use asteroidal sets and structural properties of chordal
graphs.Comment: 19 pages, 3 figure
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