Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Márcia A. Gomes-Ruggiero"'
Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) under the projects PTDC/MAT-APL/28400/2017 and UID/MAT/00297/2019. Marcia A. Gomes-Ruggiero: Partially supported by PRONEX-Optimization; CNPq (Grants 306220/
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c9b6188283ee96609dbeb59e068381b
https://hdl.handle.net/10362/116219
https://hdl.handle.net/10362/116219
Autor:
Carlile Lavor, Márcia A. Gomes-Ruggiero, Caio Lucidius Naberezny Azevedo, Douglas Soares Gonçalves
Publikováno v:
Journal of Applied Statistics. 45:1846-1871
We present a Bayesian approach to the problem of estimating density matrices in quantum state tomography. A general framework is presented based on a suitable mathematical formulation, where a stud...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcd37c8ed70400d15edbf0185c5ef3c5
https://doi.org/10.1080/02664763.2017.1401049
https://doi.org/10.1080/02664763.2017.1401049
Publikováno v:
Production v.28 2018
Production
Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron:ABEPRO
Production, Vol 28, Iss 0 (2018)
Production, Volume: 28, Article number: e20170105, Published: 18 OCT 2018
Production
Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron:ABEPRO
Production, Vol 28, Iss 0 (2018)
Production, Volume: 28, Article number: e20170105, Published: 18 OCT 2018
Paper aims We propose a modified Sequential Heuristic Procedure (MSHP) to reduce the cutting waste and number of setups for the One-Dimensional Cutting Stock Problem with Setup Cost. Originality This heuristic modifies Haessler’s sequential heurist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d29cf270543a185d86584f6701dace10
https://doi.org/10.1590/0103-6513.20170105
https://doi.org/10.1590/0103-6513.20170105
Publikováno v:
Optimization Methods and Software. 31:328-341
An ensemble of quantum states can be described by a Hermitian, positive semidefinite and unit trace matrix called density matrix. Thus, the study of methods for optimizing a certain function energy, entropy over the set of density matrices has a dire
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db16ee6e3568afee6369de9bbdda7ef5
https://doi.org/10.1080/10556788.2015.1082105
https://doi.org/10.1080/10556788.2015.1082105
Publikováno v:
Optimization Methods and Software. 25:883-893
A modified version of the method of moving asymptotes is proposed based on the spectral parameter used in the updating of a key parameter of the model. The second-order information present in the spectral parameter is thus included in the model funct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f69052f11033142e7105b7c69c7c44b
https://doi.org/10.1080/10556780902906282
https://doi.org/10.1080/10556780902906282
Publikováno v:
SIAM Journal on Scientific Computing. 31:1628-1652
This work takes advantage of the spectral projected gradient direction within the inexact restoration framework to address nonlinear optimization problems with nonconvex constraints. The proposed strategy includes a convenient handling of the constra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4446fe4054dd163d960825ab00bdf481
https://doi.org/10.1137/070707828
https://doi.org/10.1137/070707828
Publikováno v:
Annals of Operations Research. 157:193-205
In inexact Newton methods for solving nonlinear systems of equations, an approximation to the step sk of the Newton’s system J(xk)s=−F(xk) is found. This means that sk must satisfy a condition like ‖F(xk)+J(xk)sk‖≤ηk‖F(xk)‖ for a forci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09fdd7a2789d182158348219ac15de62
https://doi.org/10.1007/s10479-007-0196-y
https://doi.org/10.1007/s10479-007-0196-y
Publikováno v:
Journal of Optimization Theory and Applications. 123:497-517
The spectral projected gradient method SPG is an algorithm for large-scale bound-constrained optimization introduced recently by Birgin, Martinez, and Raydan. It is based on the Raydan unconstrained generalization of the Barzilai-Borwein method for q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32fd9ffb1b541b829c566b9f4407e392
https://doi.org/10.1007/s10957-004-5720-5
https://doi.org/10.1007/s10957-004-5720-5
Publikováno v:
Optimization. 52:417-440
A globally convergent discrete Newton method is proposed for solving large-scale nonlinear systems of equations. Advantage is taken from discretization steps so that the residual norm can be reduced while the Jacobian is approximated, besides the red
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29e1cddf9998549bc25bc83e934ae785
https://doi.org/10.1080/02331930310001611538
https://doi.org/10.1080/02331930310001611538
Autor:
José Mario Martínez, Márcia A. Gomes-Ruggiero, M. A. Diniz-Ehrhardt, Sandra A. Santos, Zdeněk Dostál
Publikováno v:
Applications of Mathematics. 46:321-338
An algorithm for quadratic minimization with simple bounds is introduced, combining, as many well-known methods do, active set strategies and projection steps. The novelty is that here the criterion for acceptance of a projected trial point is weaker
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fa79fadfa3bfe8d0c1cb44ce5790863
https://doi.org/10.1023/a:1013752209845
https://doi.org/10.1023/a:1013752209845