Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Fahimeh Biglari"'
Autor:
Fahimeh Biglari, Farideh Mahmoodpur
Publikováno v:
Journal of Optimization Theory and Applications. 170:177-188
This paper investigates scaling a modified limited-memory algorithm to solve unconstrained optimization problems. The basic idea was to combine the damped techniques for the limited-memory update and the technique of equilibrating the inverse Hessian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33455d020b2c04b622ba6c0162edf27c
https://doi.org/10.1007/s10957-016-0940-z
https://doi.org/10.1007/s10957-016-0940-z
Autor:
Fahimeh Biglari
Publikováno v:
European Journal of Operational Research. 243:697-702
This paper describes a limited-memory quasi-Newton method in which the initial inverse Hessian approximation is constructed based on the concept of equilibration of the inverse Hessian matrix. Curvature information about the objective function is sto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6e3cef300cba09ea0d471ceae074d18
https://doi.org/10.1016/j.ejor.2014.12.050
https://doi.org/10.1016/j.ejor.2014.12.050
Publikováno v:
Mediterranean Journal of Mathematics. 15
This paper is aimed to extend the scheme of self scaling, appropriate for the quasi-Newton methods, to the two-step quasi-Newton methods. The scaling scheme has been performed during the main approach of updating the current Hessian approximation and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ecc14094acd383110c2ed2e3593fdbc
https://doi.org/10.1007/s00009-017-1060-1
https://doi.org/10.1007/s00009-017-1060-1
Autor:
Fahimeh Biglari, Ali Ebadian
Publikováno v:
Computational Optimization and Applications. 60:413-422
This paper is aimed to employ a modified quasi-Newton equation in the framework of the limited memory BFGS method to solve large-scale unconstrained optimization problems. The modified secant equation is derived by means of a forth order tensor model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1934557931503ddfb7463f1ca733ec7f
https://doi.org/10.1007/s10589-014-9678-4
https://doi.org/10.1007/s10589-014-9678-4
Autor:
Fahimeh Biglari, Maghsud Solimanpur
Publikováno v:
Journal of Optimization Theory and Applications. 158:626-635
This paper presents a new method for steplength selection in the frame of spectral gradient methods. The steplength formula is based on the interpolation scheme as well as some modified secant equations. The corresponding algorithm selects the initia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d1de88157ababc21154a53689771a98
https://doi.org/10.1007/s10957-012-0265-5
https://doi.org/10.1007/s10957-012-0265-5
Publikováno v:
Journal of Computational and Applied Mathematics. 235(8):2412-2422
Many researches attempt to improve the efficiency of the usual quasi-Newton (QN) methods by accelerating the performance of the algorithm without causing more storage demand. They aim to employ more available information from the function values and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0da3761c476aff605ad39b2e5696e640
Autor:
Solmaz Esnaashari, Hossein Nazemiyeh, Lutfun Nahar, Amir-Hossein Talebpour, Fahimeh Biglari, Satyajit D. Sarker, Abbas Delazar
Publikováno v:
Phytochemistry. 67:2176-2181
A combination of vacuum liquid chromatography (VLC) and preparative thin layer chromatography (PTLC) of the dichloromethane extract of the aerial parts of the Iranian plant Pimpinella aurea afforded two phenylpropanoids, erythro-1'-(4-methoxyphenyl)-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06a2e2670e06fada2e3b6bd4d9a89ce1
https://doi.org/10.1016/j.phytochem.2006.06.012
https://doi.org/10.1016/j.phytochem.2006.06.012