Zobrazeno 1 - 10
of 13
pro vyhledávání: '"M. A. Diniz-Ehrhardt"'
Publikováno v:
Computational Optimization and Applications. 76:835-866
Our contribution in this paper is twofold. First, the global convergence analysis of the recently proposed pattern search implicit filtering algorithm (PSIFA), aimed at linearly constrained noisy minimization problems, is revisited to address more ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb48634281d561aa0211c125470fdddb
https://doi.org/10.1007/s10589-020-00182-2
https://doi.org/10.1007/s10589-020-00182-2
Publikováno v:
Scientia Agricola v.75 n.6 2018
Scientia Agrícola
Universidade de São Paulo (USP)
instacron:USP
Scientia Agricola, Vol 75, Iss 6, Pp 445-451
Scientia Agricola, Volume: 75, Issue: 6, Pages: 445-451, Published: DEC 2018
Repositório da Produção Científica e Intelectual da Unicamp
Universidade Estadual de Campinas (UNICAMP)
instacron:UNICAMP
Scientia Agrícola
Universidade de São Paulo (USP)
instacron:USP
Scientia Agricola, Vol 75, Iss 6, Pp 445-451
Scientia Agricola, Volume: 75, Issue: 6, Pages: 445-451, Published: DEC 2018
Repositório da Produção Científica e Intelectual da Unicamp
Universidade Estadual de Campinas (UNICAMP)
instacron:UNICAMP
Agradecimentos: This work was supported by the program Pronex of the Brazilian National Council for Scientific and Technological Development (CNPq) and Rio de Janeiro Research Foundation (FAPERJ) E-26/111.449/2010-APQ1, São Paulo Research Foundation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c224444f6fa81656bcff6b06fd590ce
https://doi.org/10.1590/1678-992x-2016-0456
https://doi.org/10.1590/1678-992x-2016-0456
Publikováno v:
Optimization Methods and Software. 34:827-852
PSIFA – Pattern Search and Implicit Filtering Algorithm – is a derivative-free algorithm that has been designed for linearly constrained problems with noise in the objective function. It combines s...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58a1502d4025b817e43d8340db176620
https://doi.org/10.1080/10556788.2018.1464570
https://doi.org/10.1080/10556788.2018.1464570
Publikováno v:
Computers and Electronics in Agriculture. 141:1-14
The behavior of chickens in broiler houses is affected by many conditions that involve, from the dimensions and design of the house, to the real-time control of temperature and humidity. A lot of experience is available which provides useful recommen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29272a9181db723ceb461aad725d9230
https://doi.org/10.1016/j.compag.2017.07.002
https://doi.org/10.1016/j.compag.2017.07.002
Publikováno v:
Proceeding Series of the Brazilian Society of Computational and Applied Mathematics.
Metodos numericos dependem de parâmetros que podem influenciar (muito) sua eficiencia. Os autores dos metodos costumam apresentar sugestoes para esses parâmetros, algumas vezes arbitrarios. Neste trabalho, seguindo as ideias apresentadas em [2], de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e55a2b026e8ee80ccb1b10af409869be
https://doi.org/10.5540/03.2015.003.01.0420
https://doi.org/10.5540/03.2015.003.01.0420
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
Publikováno v:
Optimization Methods and Software. 15:45-66
In this work we focus our attention on the quadratic subproblem of trust-region algorithms for large-scale bound-constrained minimization. An approach that combines a mild active set strategy with gradient projection techniques is employed in the sol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6589a79f2383a166dffe460fcff47c26
https://doi.org/10.1080/10556780108805810
https://doi.org/10.1080/10556780108805810
Publikováno v:
Computers & Mathematics with Applications. 27:11-24
In this paper, we consider a modification of the parallel projection method for solving overdetermined nonlinear systems of equations introduced recently by Diniz-Ehrhardt and Martinez [1]. This method is based on the classical Cimmino's algorithm fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a913b9bf3dc7dc3b74ac1522856caee7
https://doi.org/10.1016/0898-1221(94)90002-7
https://doi.org/10.1016/0898-1221(94)90002-7