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Elena Mumford

dblp:12/6677 · DBLP profile ↗
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12ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 10Artificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 1Graphics, computer vision, multimedia, augmented reality and games · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
5 papers
Computational geometry · 67% Computational complexity · 23% Mathematical optimization · 10%
Computer graphics and multimedia
1 paper
Computational fabrication · 100%

Topics — the 7 heaviest of 10, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational geometry
graph drawing
0.232012
Steinitz theorems for orthogonal polyhedra · SCG 2010
Area-universal rectangular layouts · SCG 2009
Area-Universal and Constrained Rectangular Layouts · SIAM J. Comput. 2012
Computational geometry › graph drawing
rectangular layout
0.222012
Area-Universal and Constrained Rectangular Layouts · SIAM J. Comput. 2012
Area-universal rectangular layouts · SCG 2009
Mathematical optimization › combinatorial optimization
polyhedral combinatorics
0.112010
Steinitz theorems for orthogonal polyhedra · SCG 2010
Computational geometry › graph drawing
rectangular dual
0.112009
Area-universal rectangular layouts · SCG 2009
Computational geometry › geometric folding
self-overlapping curves
0.112009
Self-overlapping curves revisited · SODA 2009
Computational complexity › hardness of approximation
geometric hardness
0.112008
Cutting cycles of rods in space: hardness and approximation · SODA 2008
Computational complexity
hardness of approximation
0.112008
Cutting cycles of rods in space: hardness and approximation · SODA 2008

Methods — techniques the papers use, named apart from their topics

graph characterization · 0.1fixed-parameter tractable algorithm · 0.1combinatorial characterization · 0.1
YearPublicationVenuePosition
2012 Area-Universal and Constrained Rectangular Layouts
abstract
A rectangular layout is a partition of a rectangle into a finite set of interior-disjoint rectangles. These layouts are used as rectangular cartograms in cartography, as floorplans in building architecture and VLSI design, and as graph drawings. Often areas are associated with the rectangles of a rectangular layout and it is desirable for one rectangular layout to represent several area assignments. A layout is area-universal if any assignment of areas to rectangles can be realized by a combinatorially equivalent rectangular layout. We identify a simple necessary and sufficient condition for a rectangular layout to be area-universal: a rectangular layout is area-universal if and only if it is one-sided. We also investigate similar questions for perimeter assignments. The adjacency requirements for the rectangles of a rectangular layout can be specified in various ways, most commonly via the dual graph of the layout. We show how to find an area-universal layout for a given set of adjacency requirements whenever such a layout exists. Furthermore we show how to impose restrictions on the orientations of edges and junctions of the rectangular layout. Such an orientation-constrained layout, if it exists, may be constructed in polynomial time, and all orientation-constrained layouts may be listed in polynomial time per layout.
David Eppstein, Elena Mumford, Bettina Speckmann, Kevin Verbeek
SIAM J. Comput.2
2010 Steinitz theorems for orthogonal polyhedra
abstract
We define a simple orthogonal polyhedron to be a three-dimensional polyhedron with the topology of a sphere in which three mutually-perpendicular edges meet at each vertex. By analogy to Steinitz's theorem characterizing the graphs of convex polyhedra, we characterize the graphs of simple orthogonal polyhedra: they are exactly the 3-regular bipartite planar graphs in which the removal of any two vertices produces at most two connected components. We also characterize two subclasses of these polyhedra: corner polyhedra, which can be drawn by isometric projection in the plane with only one hidden vertex, and xyz polyhedra, in which each axis-parallel line through a vertex contains exactly one other vertex. Based on our characterizations we find efficient algorithms for constructing orthogonal polyhedra from their graphs
David Eppstein, Elena Mumford
SCG2
2010 Optimal 3D Angular Resolution for Low-Degree Graphs
David Eppstein, Maarten Löffler, Elena Mumford, Martin Nöllenburg
GD3
2009 Area-universal rectangular layouts
abstract
A rectangular layout is a partition of a rectangle into a finite set of interior-disjoint rectangles. They are used as rectangular cartograms in cartography, as floorplans in building architecture and VLSI design, and as graph drawings. Often areas are associated with the rectangles of a rectangular layout and it is desirable for one rectangular layout to represent several area assignments. A layout is area-universal if any assignment of areas to rectangles can be realized by a combinatorially equivalent rectangular layout. We identify a simple necessary and sufficient condition for a rectangular layout to be area-universal: a rectangular layout is area-universal if and only if it is one-sided. We also investigate similar questions for perimeter assignments. The adjacency requirements for the rectangles of a rectangular layout can be specified in various ways, most commonly via the dual graph of the layout. We show how to find an area-universal layout for a given set of adjacency requirements whenever such a layout exists.
David Eppstein, Elena Mumford, Bettina Speckmann, Kevin Verbeek
SCG2
2009 Self-overlapping curves revisited
abstract
Let S be a surface embedded in space in such a way that each point has a neighborhood within which the surface is a terrain. Then S projects to an immersed surface in the plane, the boundary of which is a (possibly self-intersecting) curve. Under what circumstances can we reverse these mappings algorithmically? Shor and van Wyk considered one such problem, determining whether a curve is the boundary of an immersed disk; they showed that the self-overlapping curves defined in this way can be recognized in polynomial time. We show that several related problems are more difficult: it is NP-complete to determine whether an immersed disk is the projection of a disk embedded in space, or whether a curve is the boundary of an immersed surface in the plane that is not constrained to be a disk. However, when a casing is supplied with a self-intersecting curve, describing which component of the curve lies above and which below at each crossing, we may determine in time linear in the number of crossings whether the cased curve forms the projected boundary of a surface in space. As a related result, we show that an immersed surface with a single boundary curve that crosses itself n times has at most 2n/2 combinatorially distinct spatial embeddings, and we discuss the existence of fixed-parameter tractable algorithms for related problems.
David Eppstein, Elena Mumford
SODA2
2009 Orientation-Constrained Rectangular Layouts
David Eppstein, Elena Mumford
WADS2
2009 Edges and switches, tunnels and bridges
David Eppstein, Marc J. van Kreveld, Elena Mumford, Bettina Speckmann
Comput. Geom.3
2008 Connected Rectilinear Graphs on Point Sets
Maarten Löffler, Elena Mumford
GD2
2008 Cutting cycles of rods in space: hardness and approximation
Boris Aronov, Mark de Berg, Chris Gray, Elena Mumford
SODA4
2007 Edges and Switches, Tunnels and Bridges
David Eppstein, Marc J. van Kreveld, Elena Mumford, Bettina Speckmann
WADS3
2006 Optimal BSPs and rectilinear cartograms
abstract
A cartogram is a thematic map that visualizes statistical data about a set of regions like countries, states or provinces. The size of a region in a cartogram corresponds to a particular geographic variable, for example, population. We present an algorithm for constructing rectilinear cartograms (each region is represented by a rectilinear polygon) with zero cartographic error and correct region adjacencies, and we test our algorithm on various data sets. It produces regions of very small complexity---in fact, most regions are rectangles---while still ensuring both exact areas and correct adjacencies for all regions.Our algorithm uses a novel subroutine that is interesting in its own right, namely a polynomial-time algorithm for computing optimal binary space partitions (BSPs) for rectilinear maps. This algorithm works for a general class of optimality criteria, including size and depth. We use this generality in our application to computing cartograms, where we apply a dedicated cost function leading to BSP's amenable to the constructing of high-quality cartograms.
Mark de Berg, Elena Mumford, Bettina Speckmann
GIS2
2005 On Rectilinear Duals for Vertex-Weighted Plane Graphs
Mark de Berg, Elena Mumford, Bettina Speckmann
GD2