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Main Authors: Gray, Kathryn, Bell, Brian, Sieper, Diana, Kobourov, Stephen, Schreiber, Falk, Klein, Karsten, Hong, Seokhee
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2407.00511
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author Gray, Kathryn
Bell, Brian
Sieper, Diana
Kobourov, Stephen
Schreiber, Falk
Klein, Karsten
Hong, Seokhee
author_facet Gray, Kathryn
Bell, Brian
Sieper, Diana
Kobourov, Stephen
Schreiber, Falk
Klein, Karsten
Hong, Seokhee
contents This paper aims to develop a mathematical foundation to model knitting with graphs. We provide a precise definition for knit objects with a knot theoretic component and propose a simple undirected graph, a simple directed graph, and a directed multigraph model for any arbitrary knit object. Using these models, we propose natural categories related to the complexity of knitting structures. We use these categories to explore the hardness of determining whether a knit object of each class exists for a given graph. We show that while this problem is NP-hard in general, under specific cases, there are linear and polynomial time algorithms which take advantage of unique properties of common knitting techniques. This work aims to bridge the gap between textile arts and graph theory, offering a useful and rigorous framework for analyzing knitting objects using their corresponding graphs and for generating knitting objects from graphs.
format Preprint
id arxiv_https___arxiv_org_abs_2407_00511
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Wooly Graphs : A Mathematical Framework For Knitting
Gray, Kathryn
Bell, Brian
Sieper, Diana
Kobourov, Stephen
Schreiber, Falk
Klein, Karsten
Hong, Seokhee
Data Structures and Algorithms
This paper aims to develop a mathematical foundation to model knitting with graphs. We provide a precise definition for knit objects with a knot theoretic component and propose a simple undirected graph, a simple directed graph, and a directed multigraph model for any arbitrary knit object. Using these models, we propose natural categories related to the complexity of knitting structures. We use these categories to explore the hardness of determining whether a knit object of each class exists for a given graph. We show that while this problem is NP-hard in general, under specific cases, there are linear and polynomial time algorithms which take advantage of unique properties of common knitting techniques. This work aims to bridge the gap between textile arts and graph theory, offering a useful and rigorous framework for analyzing knitting objects using their corresponding graphs and for generating knitting objects from graphs.
title Wooly Graphs : A Mathematical Framework For Knitting
topic Data Structures and Algorithms
url https://arxiv.org/abs/2407.00511