Applications of fast triangulation simplification
We describe a new algorithm to compute the geometric intersection number between two curves, given as edge vectors on an ideal triangulation. Most importantly, this algorithm runs in polynomial time in the bit-size of the two edge vectors. In its simplest instances, this algorithm works by finding t...
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Main Authors | , |
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Format | Journal Article |
Language | English |
Published |
11.05.2016
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Subjects | |
Online Access | Get full text |
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Summary: | We describe a new algorithm to compute the geometric intersection number
between two curves, given as edge vectors on an ideal triangulation. Most
importantly, this algorithm runs in polynomial time in the bit-size of the two
edge vectors.
In its simplest instances, this algorithm works by finding the minimal
position of the two curves. We achieve this by phrasing the problem as a
collection of linear programming problems. We describe how to reduce the more
general case down to one of these simplest instances in polynomial time. This
reduction relies on an algorithm by the first author to quickly switch to a new
triangulation in which an edge vector is significantly smaller. |
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DOI: | 10.48550/arxiv.1605.03514 |