Estimating the distance to a hereditary graph property (2017)
- Authors:
- Autor USP: KOHAYAKAWA, YOSHIHARU - IME
- Unidade: IME
- DOI: 10.1016/j.endm.2017.07.014
- Assunto: MATEMÁTICA DISCRETA
- Keywords: parameter testing; edit distance; hereditary properties
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Electronic Notes in Discrete Mathematics
- ISSN: 1571-0653
- Volume/Número/Paginação/Ano: v. 61, p. 607-613, 2017
- Conference titles: European Conference on Combinatorics, Graph Theory and Applications - EUROCOMB'17
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
HOPPEN, Carlos et al. Estimating the distance to a hereditary graph property. Electronic Notes in Discrete Mathematics. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.endm.2017.07.014. Acesso em: 25 abr. 2024. , 2017 -
APA
Hoppen, C., Kohayakawa, Y., Lang, R., Lefmann, H., & Stagni, H. (2017). Estimating the distance to a hereditary graph property. Electronic Notes in Discrete Mathematics. Amsterdam: Elsevier. doi:10.1016/j.endm.2017.07.014 -
NLM
Hoppen C, Kohayakawa Y, Lang R, Lefmann H, Stagni H. Estimating the distance to a hereditary graph property [Internet]. Electronic Notes in Discrete Mathematics. 2017 ; 61 607-613.[citado 2024 abr. 25 ] Available from: https://doi.org/10.1016/j.endm.2017.07.014 -
Vancouver
Hoppen C, Kohayakawa Y, Lang R, Lefmann H, Stagni H. Estimating the distance to a hereditary graph property [Internet]. Electronic Notes in Discrete Mathematics. 2017 ; 61 607-613.[citado 2024 abr. 25 ] Available from: https://doi.org/10.1016/j.endm.2017.07.014 - A practical minimal perfect hashing method
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- On Richardson's model on the hypercube
- The Turan theorem for random graphs
- Embedding graphs with bounded degree in sparse pseudorandom graphs
- Universality and tolerance
- Hereditary properties of triple systems
- An optimal algorithm for checking regularity
- Searching in Random partially ordered sets
- Discrepancy and eigenvalues of Cayley graphs
Informações sobre o DOI: 10.1016/j.endm.2017.07.014 (Fonte: oaDOI API)
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