118 research outputs found
Vertex Disjoint Path in Upward Planar Graphs
The -vertex disjoint paths problem is one of the most studied problems in
algorithmic graph theory. In 1994, Schrijver proved that the problem can be
solved in polynomial time for every fixed when restricted to the class of
planar digraphs and it was a long standing open question whether it is
fixed-parameter tractable (with respect to parameter ) on this restricted
class. Only recently, \cite{CMPP}.\ achieved a major breakthrough and answered
the question positively. Despite the importance of this result (and the
brilliance of their proof), it is of rather theoretical importance. Their proof
technique is both technically extremely involved and also has at least double
exponential parameter dependence. Thus, it seems unrealistic that the algorithm
could actually be implemented. In this paper, therefore, we study a smaller
class of planar digraphs, the class of upward planar digraphs, a well studied
class of planar graphs which can be drawn in a plane such that all edges are
drawn upwards. We show that on the class of upward planar digraphs the problem
(i) remains NP-complete and (ii) the problem is fixed-parameter tractable.
While membership in FPT follows immediately from \cite{CMPP}'s general result,
our algorithm has only single exponential parameter dependency compared to the
double exponential parameter dependence for general planar digraphs.
Furthermore, our algorithm can easily be implemented, in contrast to the
algorithm in \cite{CMPP}.Comment: 14 page
Upward and Orthogonal Planarity are W[1]-hard Parameterized by Treewidth
Upward planarity testing and Rectilinear planarity testing are central
problems in graph drawing. It is known that they are both NP-complete, but XP
when parameterized by treewidth. In this paper we show that these two problems
are W[1]-hard parameterized by treewidth, which answers open problems posed in
two earlier papers. The key step in our proof is an analysis of the
All-or-Nothing Flow problem, a generalization of which was used as an
intermediate step in the NP-completeness proof for both planarity testing
problems. We prove that the flow problem is W[1]-hard parameterized by
treewidth on planar graphs, and that the existing chain of reductions to the
planarity testing problems can be adapted without blowing up the treewidth. Our
reductions also show that the known -time algorithms cannot be
improved to run in time unless ETH fails.Comment: Appears in the Proceedings of the 31st International Symposium on
Graph Drawing and Network Visualization (GD 2023
Upward planar drawings with two slopes
In an upward planar 2-slope drawing of a digraph, edges are drawn as
straight-line segments in the upward direction without crossings using only two
different slopes. We investigate whether a given upward planar digraph admits
such a drawing and, if so, how to construct it. For the fixed embedding
scenario, we give a simple characterisation and a linear-time construction by
adopting algorithms from orthogonal drawings. For the variable embedding
scenario, we describe a linear-time algorithm for single-source digraphs, a
quartic-time algorithm for series-parallel digraphs, and a fixed-parameter
tractable algorithm for general digraphs. For the latter two classes, we make
use of SPQR-trees and the notion of upward spirality. As an application of this
drawing style, we show how to draw an upward planar phylogenetic network with
two slopes such that all leaves lie on a horizontal line
Recognizing and Drawing IC-planar Graphs
IC-planar graphs are those graphs that admit a drawing where no two crossed
edges share an end-vertex and each edge is crossed at most once. They are a
proper subfamily of the 1-planar graphs. Given an embedded IC-planar graph
with vertices, we present an -time algorithm that computes a
straight-line drawing of in quadratic area, and an -time algorithm
that computes a straight-line drawing of with right-angle crossings in
exponential area. Both these area requirements are worst-case optimal. We also
show that it is NP-complete to test IC-planarity both in the general case and
in the case in which a rotation system is fixed for the input graph.
Furthermore, we describe a polynomial-time algorithm to test whether a set of
matching edges can be added to a triangulated planar graph such that the
resulting graph is IC-planar
On the Parameterized Complexity of Bend-Minimum Orthogonal Planarity
Computing planar orthogonal drawings with the minimum number of bends is one
of the most relevant topics in Graph Drawing. The problem is known to be
NP-hard, even when we want to test the existence of a rectilinear planar
drawing, i.e., an orthogonal drawing without bends (Garg and Tamassia, 2001).
From the parameterized complexity perspective, the problem is fixed-parameter
tractable when parameterized by the sum of three parameters: the number of
bends, the number of vertices of degree at most two, and the treewidth of the
input graph (Di Giacomo et al., 2022). We improve this last result by showing
that the problem remains fixed-parameter tractable when parameterized only by
the number of vertices of degree at most two plus the number of bends. As a
consequence, rectilinear planarity testing lies in \FPT~parameterized by the
number of vertices of degree at most two.Comment: Appears in the Proceedings of the 31st International Symposium on
Graph Drawing and Network Visualization (GD 2023
Grid Recognition: Classical and Parameterized Computational Perspectives
Grid graphs, and, more generally, grid graphs, form one of the
most basic classes of geometric graphs. Over the past few decades, a large body
of works studied the (in)tractability of various computational problems on grid
graphs, which often yield substantially faster algorithms than general graphs.
Unfortunately, the recognition of a grid graph is particularly hard -- it was
shown to be NP-hard even on trees of pathwidth 3 already in 1987. Yet, in this
paper, we provide several positive results in this regard in the framework of
parameterized complexity (additionally, we present new and complementary
hardness results). Specifically, our contribution is threefold. First, we show
that the problem is fixed-parameter tractable (FPT) parameterized by where is the maximum size of a connected component of
. This also implies that the problem is FPT parameterized by
where is the treedepth of (to be compared with the hardness
for pathwidth 2 where ). Further, we derive as a corollary that strip
packing is FPT with respect to the height of the strip plus the maximum of the
dimensions of the packed rectangles, which was previously only known to be in
XP. Second, we present a new parameterization, denoted , relating graph
distance to geometric distance, which may be of independent interest. We show
that the problem is para-NP-hard parameterized by , but FPT parameterized
by on trees, as well as FPT parameterized by . Third, we show that
the recognition of grid graphs is NP-hard on graphs of pathwidth 2
where . Moreover, when and are unrestricted, we show that the
problem is NP-hard on trees of pathwidth 2, but trivially solvable in
polynomial time on graphs of pathwidth 1
Extending Orthogonal Planar Graph Drawings Is Fixed-Parameter Tractable
The task of finding an extension to a given partial drawing of a graph while adhering to constraints on the representation has been extensively studied in the literature, with well-known results providing efficient algorithms for fundamental representations such as planar and beyond-planar topological drawings. In this paper, we consider the extension problem for bend-minimal orthogonal drawings of planar graphs, which is among the most fundamental geometric graph drawing representations. While the problem was known to be NP-hard, it is natural to consider the case where only a small part of the graph is still to be drawn. Here, we establish the fixed-parameter tractability of the problem when parameterized by the size of the missing subgraph. Our algorithm is based on multiple novel ingredients which intertwine geometric and combinatorial arguments. These include the identification of a new graph representation of bend-equivalent regions for vertex placement in the plane, establishing a bound on the treewidth of this auxiliary graph, and a global point-grid that allows us to discretize the possible placement of bends and vertices into locally bounded subgrids for each of the above regions
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