A benchmark study on intelligent sampling techniques in Monte Carlo simulation (2015)
- Authors:
- Autor USP: BECK, ANDRÉ TEÓFILO - EESC
- Unidade: EESC
- DOI: 10.1590/1679-78251245
- Subjects: ESTRUTURAS (CONFIABILIDADE); MÉTODO DE MONTE CARLO; BENCHMARKING (ESTUDO)
- Language: Inglês
- Imprenta:
- Publisher place: Recife, PE
- Date published: 2015
- Source:
- Título: Latin American Journal of Solids and Structures
- ISSN: 1679-7817
- Volume/Número/Paginação/Ano: v. 12, n. 4, p. 624-648, 2015
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
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ABNT
SANTOS, Ketson Roberto Maximiano dos e BECK, André Teófilo. A benchmark study on intelligent sampling techniques in Monte Carlo simulation. Latin American Journal of Solids and Structures, v. 12, n. 4, p. 624-648, 2015Tradução . . Disponível em: https://doi.org/10.1590/1679-78251245. Acesso em: 21 jan. 2026. -
APA
Santos, K. R. M. dos, & Beck, A. T. (2015). A benchmark study on intelligent sampling techniques in Monte Carlo simulation. Latin American Journal of Solids and Structures, 12( 4), 624-648. doi:10.1590/1679-78251245 -
NLM
Santos KRM dos, Beck AT. A benchmark study on intelligent sampling techniques in Monte Carlo simulation [Internet]. Latin American Journal of Solids and Structures. 2015 ; 12( 4): 624-648.[citado 2026 jan. 21 ] Available from: https://doi.org/10.1590/1679-78251245 -
Vancouver
Santos KRM dos, Beck AT. A benchmark study on intelligent sampling techniques in Monte Carlo simulation [Internet]. Latin American Journal of Solids and Structures. 2015 ; 12( 4): 624-648.[citado 2026 jan. 21 ] Available from: https://doi.org/10.1590/1679-78251245 - Challenges in finding the design point with highly non-Gaussian bounded random variables
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Informações sobre o DOI: 10.1590/1679-78251245 (Fonte: oaDOI API)
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