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Infinite All-Layers Simple Foldability

Infinite all-layers simple foldability
Authors: Hugo A. Akitaya; Cordelia Avery; Joseph Bergeron; Erik D. Demaine; Justin Kopinsky; Jason S. Ku;

Infinite All-Layers Simple Foldability

Abstract

We study the problem of deciding whether a crease pattern can be folded by simple folds (folding along one line at a time) under the infinite all-layers model introduced by [Akitaya et al., 2017], in which each simple fold is defined by an infinite line and must fold all layers of paper that intersect this line. This model is motivated by folding in manufacturing such as sheet-metal bending. We improve on [Arkin et al., 2004] by giving a deterministic $O(n)$-time algorithm to decide simple foldability of 1D crease patterns in the all-layers model. Then we extend this 1D result to 2D, showing that simple foldability in this model can be decided in linear time for unassigned axis-aligned orthogonal crease patterns on axis-aligned 2D orthogonal paper. On the other hand, we show that simple foldability is strongly NP-complete if a subset of the creases have a mountain-valley assignment, even for an axis-aligned rectangle of paper.

Country
United States
Keywords

Computational Geometry (cs.CG), FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Geometric constructions in real or complex geometry, crease patterns, computational origami, Computer graphics; computational geometry (digital and algorithmic aspects), simple folding, Computer Science - Data Structures and Algorithms, NP-hardness, Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), Computer Science - Computational Geometry, Data Structures and Algorithms (cs.DS), Computer Science - Discrete Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
bronze