Happy edges: Threshold-coloring of regular lattices

Md Jawaherul Alam; Stephen G. Kobourov; Sergey Pupyrev; Jackson Toeniskoetter

doi:10.1007/978-3-319-07890-8_3

Happy edges: Threshold-coloring of regular lattices

Md Jawaherul Alam, Stephen G. Kobourov, Sergey Pupyrev, Jackson Toeniskoetter

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

We study a graph coloring problem motivated by a fun Sudoku-style puzzle. Given a bipartition of the edges of a graph into near and far sets and an integer threshold t, a threshold-coloring of the graph is an assignment of integers to the vertices so that endpoints of near edges differ by t or less, while endpoints of far edges differ by more than t. We study threshold-coloring of tilings of the plane by regular polygons, known as Archimedean lattices, and their duals, the Laves lattices. We prove that some are threshold-colorable with constant number of colors for any edge labeling, some require an unbounded number of colors for specific labelings, and some are not threshold-colorable.

Original language	English (US)
Title of host publication	Fun with Algorithms - 7th International Conference, FUN 2014, Proceedings
Publisher	Springer-Verlag
Pages	28-39
Number of pages	12
ISBN (Print)	9783319078892
DOIs	https://doi.org/10.1007/978-3-319-07890-8_3
State	Published - 2014
Event	7th International Conference on Fun with Algorithms, FUN 2014 - Sicily, Italy Duration: Jul 1 2014 → Jul 3 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8496 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	7th International Conference on Fun with Algorithms, FUN 2014
Country	Italy
City	Sicily
Period	7/1/14 → 7/3/14

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-07890-8_3

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Cite this

Alam, M. J., Kobourov, S. G., Pupyrev, S., & Toeniskoetter, J. (2014). Happy edges: Threshold-coloring of regular lattices. In Fun with Algorithms - 7th International Conference, FUN 2014, Proceedings (pp. 28-39). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8496 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-319-07890-8_3

Happy edges : Threshold-coloring of regular lattices. / Alam, Md Jawaherul; Kobourov, Stephen G.; Pupyrev, Sergey; Toeniskoetter, Jackson.

Fun with Algorithms - 7th International Conference, FUN 2014, Proceedings. Springer-Verlag, 2014. p. 28-39 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8496 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Alam, MJ, Kobourov, SG, Pupyrev, S & Toeniskoetter, J 2014, Happy edges: Threshold-coloring of regular lattices. in Fun with Algorithms - 7th International Conference, FUN 2014, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8496 LNCS, Springer-Verlag, pp. 28-39, 7th International Conference on Fun with Algorithms, FUN 2014, Sicily, Italy, 7/1/14. https://doi.org/10.1007/978-3-319-07890-8_3

Alam MJ, Kobourov SG, Pupyrev S, Toeniskoetter J. Happy edges: Threshold-coloring of regular lattices. In Fun with Algorithms - 7th International Conference, FUN 2014, Proceedings. Springer-Verlag. 2014. p. 28-39. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-07890-8_3

Alam, Md Jawaherul ; Kobourov, Stephen G. ; Pupyrev, Sergey ; Toeniskoetter, Jackson. / Happy edges : Threshold-coloring of regular lattices. Fun with Algorithms - 7th International Conference, FUN 2014, Proceedings. Springer-Verlag, 2014. pp. 28-39 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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