Zobrazeno 1 - 10
of 12
pro vyhledávání: '"F. N. C. Sobral"'
Publikováno v:
Journal of Global Optimization. 80:387-414
The robust adjustment of nonlinear models to data is considered in this paper. When data comes from real experiments, it is possible that measurement errors cause the appearance of discrepant values, which should be ignored when adjusting models to t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::182af3f1850eb3a7a164089a2b258427
https://doi.org/10.1007/s10898-020-00970-4
https://doi.org/10.1007/s10898-020-00970-4
Autor:
J. C. Bortolete, L. F. Bueno, R. Butkeraites, A. A. Chaves, G. Collaço, M. Magueta, F. J. R. Pelogia, L. L. Salles Neto, T. S. Santos, T. S. Silva, F. N. C. Sobral, H. H. Yanasse
Publikováno v:
Computational and Applied Mathematics
In this paper, we present the online tool http://salaplanejada.unifesp.br, developed to assist the layout planning of classrooms considering the social distancing in the context of the COVID-19 pandemic. We address both the fixed and non-fixed positi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39b44a1eb7405dd900848bb12cfb109d
http://europepmc.org/articles/PMC8689291
http://europepmc.org/articles/PMC8689291
Autor:
Flávio Leite Loução Junior, F. N. C. Sobral, Luiz-Rafael Santos, Claudia Sagastizábal, Marlon Sproesser Mathias
In partnership with CCEE, CEPEL and RADIX as industrial partners, in 2021 the study group focused on the dynamics of hourly prices when industrial consumers are demand responsive, as a follow-up of the industrial problem tackled in 2018 and 2019, on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba99a954ea4101dd95290965aaf9093d
https://doi.org/10.33774/miir-2021-6qw7r
https://doi.org/10.33774/miir-2021-6qw7r
Autor:
J. H. de Oliveira, M. M. de Souza Lima, Wesley Vagner Inês Shirabayashi, H. C. Rosseto, Alex Reis, F. N. C. Sobral, Lazhar Benyahia, Aldicione Gouveia Junior, F. M. B. Fernandes, Thiago Fernandes, B. L. Pelegrini, Christophe Chassenieux, Emerson Vitor Castelani
Publikováno v:
Cellulose.
The development of Pickering emulsions as ecologically correct stabilized with bio-based material by substituting synthetic petroleum-derived tensoactives assumed a very attractive level, representing the current guideline of the global market for ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be5c13e80100e0e64aedd2915959c23c
https://doi.org/10.1007/s10570-021-03904-9
https://doi.org/10.1007/s10570-021-03904-9
Autor:
F. N. C. Sobral, Jacek Gondzio
Publikováno v:
Gondzio, J & Sobral, F N C 2019, ' Quasi-Newton approaches to Interior Point Methods for quadratic problems ', Computational optimization and applications, vol. 74, no. 1, pp. 93-120 . https://doi.org/10.1007/s10589-019-00102-z
Interior Point Methods (IPM) rely on the Newton method for solv-ing systems of nonlinear equations. Solving the linear systems which arise fromthis approach is the most computationally expensive task of an interior pointiteration. If, due to problem'
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebd55cc8e5d5b84b4d553ff22ee8c314
https://www.pure.ed.ac.uk/ws/files/82162970/qnIPM.pdf
https://www.pure.ed.ac.uk/ws/files/82162970/qnIPM.pdf
Publikováno v:
Anais Estendidos do XV Simpósio Brasileiro de Sistemas de Informação (Anais Estendidos do SBSI 2019).
A descoberta e caracterização de perfis de comportamento de condução pode ser útil para apoiar a otimização de processos para seguradores ou gestoras de frotas. A evolução das técnicas da computação ubíqua e de análise de dados tornou t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8694b0e063010e1c804ec1ee50197093
https://doi.org/10.5753/sbsi.2019.7433
https://doi.org/10.5753/sbsi.2019.7433
Publikováno v:
Optimization. 66:271-292
In this work, we present an algorithm for solving constrained optimization problems that does not make explicit use of the objective function derivatives. The algorithm mixes an inexact restoration framework with filter techniques, where the forbidde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f541eb110098d00b9a54e5ed17bfa561
https://doi.org/10.1080/02331934.2016.1263629
https://doi.org/10.1080/02331934.2016.1263629
Publikováno v:
Journal of Open Source Software. 4:1385
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e805c2a9e68a15d3576d4e5ddb36e90e
https://doi.org/10.21105/joss.01385
https://doi.org/10.21105/joss.01385
Publikováno v:
SIAM Journal on Optimization. 23:1189-1213
A new method is introduced for solving constrained optimization problems in which the derivatives of the constraints are available but the derivatives of the objective function are not. The method is based on the inexact restoration framework, by mea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4344d8e661ec92676df95ca74a6aae6
https://doi.org/10.1137/110856253
https://doi.org/10.1137/110856253
Autor:
F. N. C. Sobral, José Mario Martínez
Publikováno v:
Journal of Global Optimization. 56:1217-1232
Many derivative-free methods for constrained problems are not efficient for minimizing functions on “thin” domains. Other algorithms, like those based on Augmented Lagrangians, deal with thin constraints using penalty-like strategies. When the co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aef975edecf23168094c38b858cd09ed
https://doi.org/10.1007/s10898-012-9944-x
https://doi.org/10.1007/s10898-012-9944-x