172 research outputs found
Improved Algorithms for the Point-Set Embeddability problem for Plane 3-Trees
In the point set embeddability problem, we are given a plane graph with
vertices and a point set with points. Now the goal is to answer the
question whether there exists a straight-line drawing of such that each
vertex is represented as a distinct point of as well as to provide an
embedding if one does exist. Recently, in \cite{DBLP:conf/gd/NishatMR10}, a
complete characterization for this problem on a special class of graphs known
as the plane 3-trees was presented along with an efficient algorithm to solve
the problem. In this paper, we use the same characterization to devise an
improved algorithm for the same problem. Much of the efficiency we achieve
comes from clever uses of the triangular range search technique. We also study
a generalized version of the problem and present improved algorithms for this
version of the problem as well
On Embeddability of Buses in Point Sets
Set membership of points in the plane can be visualized by connecting
corresponding points via graphical features, like paths, trees, polygons,
ellipses. In this paper we study the \emph{bus embeddability problem} (BEP):
given a set of colored points we ask whether there exists a planar realization
with one horizontal straight-line segment per color, called bus, such that all
points with the same color are connected with vertical line segments to their
bus. We present an ILP and an FPT algorithm for the general problem. For
restricted versions of this problem, such as when the relative order of buses
is predefined, or when a bus must be placed above all its points, we provide
efficient algorithms. We show that another restricted version of the problem
can be solved using 2-stack pushall sorting. On the negative side we prove the
NP-completeness of a special case of BEP.Comment: 19 pages, 9 figures, conference version at GD 201
Optimally fast incremental Manhattan plane embedding and planar tight span construction
We describe a data structure, a rectangular complex, that can be used to
represent hyperconvex metric spaces that have the same topology (although not
necessarily the same distance function) as subsets of the plane. We show how to
use this data structure to construct the tight span of a metric space given as
an n x n distance matrix, when the tight span is homeomorphic to a subset of
the plane, in time O(n^2), and to add a single point to a planar tight span in
time O(n). As an application of this construction, we show how to test whether
a given finite metric space embeds isometrically into the Manhattan plane in
time O(n^2), and add a single point to the space and re-test whether it has
such an embedding in time O(n).Comment: 39 pages, 15 figure
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