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Algorithmic folding complexity

Authors :
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Demaine, Erik D.
Demaine, Martin L.
Cardinal, Jean
Imahori, Shinji
Langerman, Stefan
Uehara, Ryuhei
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Demaine, Erik D.
Demaine, Martin L.
Cardinal, Jean
Imahori, Shinji
Langerman, Stefan
Uehara, Ryuhei
Source :
MIT web domain
Publication Year :
2011

Abstract

How do we most quickly fold a paper strip (modeled as a line) to obtain a desired mountain-valley pattern of equidistant creases (viewed as a binary string)? Define the folding complexity of a mountain-valley string as the minimum number of simple folds required to construct it. We show that the folding complexity of a length-n uniform string (all mountains or all valleys), and hence of a length-n pleat (alternating mountain/valley), is polylogarithmic in n. We also show that the maximum possible folding complexity of any string of length n is O(n/lgn), meeting a previously known lower bound.

Details

Database :
OAIster
Journal :
MIT web domain
Notes :
application/pdf, en_US
Publication Type :
Electronic Resource
Accession number :
edsoai.ocn796397923
Document Type :
Electronic Resource