Research output per year
Research output per year
Marc Hellmuth, Anders S. Knudsen, Michal Kotrbík, Daniel Merkle, Nikolai Nøjgaard
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Antiparallel strong traces (ASTs) are a type of walks in graphs which use every edge exactly twice. They correspond to 1-face embeddings in orientable surfaces and can be used to design self-assembling protein or DNA strands. Based on a novel canonical form invariant for ASTs, gap vector, we provide a linear-time isomorphism test for ASTs and thus, also for orientable 1-face embeddings of graphs. Using the canonical form, we develop an algorithm for enumerating all pairwise non-isomorphic 1-face embeddings of graphs. We compare our algorithm with an independent implementation of a recent algebraic approach (Baši? et al., MATCH Commun. Math. Comput. Chem. 78 (3), 2017) on large data sets. Our results yield the first large-scale enumeration of non-isomorphic embeddings and investigation of their properties.
Original language | English |
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Title of host publication | 2018 Proceedings of the 20th Workshop on Algorithm Engineering and Experiments, ALENEX 2018 |
Editors | Suresh Venkatasubramanian, Rasmus Pagh |
Publisher | Society for Industrial and Applied Mathematics |
Publication date | 2018 |
Pages | 154-168 |
ISBN (Electronic) | 9781611975055 |
DOIs | |
Publication status | Published - 2018 |
Event | 20th Workshop on Algorithm Engineering and Experiments, ALENEX 2018 - New Orleans, United States Duration: 7. Jan 2018 → 8. Jan 2018 |
Conference | 20th Workshop on Algorithm Engineering and Experiments, ALENEX 2018 |
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Country/Territory | United States |
City | New Orleans |
Period | 07/01/2018 → 08/01/2018 |
Research output: Thesis › Ph.D. thesis