Results 71 to 80 of about 11,641,221 (293)

Nonlinear conjugate gradient method [PDF]

open access: yes, 2019
V této práci studujeme nelineární metody sdružených gradientů pro nepodmíněnou optimalizaci. Uvádíme možnosti a limity stávajících metod nepodmíněné optimalizace.
Aleksandr Efremov
core  

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

open access: yesFEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri   +5 more
wiley   +1 more source

Development of a Spectral Conjugate Gradient Method for Solving Optimization Problems

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics
Conjugate gradient methods have been favored to use for their efficiency in solving large-scale unconstrained optimization problems, primarily because of their low memory requirements and exclusive to use the first-order derivative information.
Kamal Jameel Murad, Salah Gazi Shareef
doaj   +1 more source

Emerging experimental and computational methods for studying redox‐regulated structural transitions

open access: yesFEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass   +2 more
wiley   +1 more source

Global Convergence of a New Coefficient Nonlinear Conjugate Gradient Method

open access: yes, 2018
Venue: Avillion Legacy MelakaNonlinear conjugate gradient (CG) methods are widely used in optimization field due to its efficiency for solving a large scale unconstrained optimization problems.
Shazlyn Milleana Shaharuddin.   +4 more
core  

Structures of mycobacterial 3‐methylcrotonyl‐CoA carboxylase reveal carrier‐domain translocation between catalytic sites

open access: yesFEBS Letters, EarlyView.
Mycobacterial 3‐methylcrotonyl‐CoA carboxylase uses a mobile biotin‐carrying domain to shuttle a carboxyl group between two catalytic sites, enabling carboxylation of 3‐methylcrotonyl‐CoA during leucine breakdown. Cryo‐electron microscopy captures the carrier at both sites and reveals an inward loop movement that may prevent futile rebinding to the ...
Ajit Yadav   +2 more
wiley   +1 more source

Leucine‐rich glioma inactivated 1 (LGI1) is a ganglioside‐binding protein

open access: yesFEBS Letters, EarlyView.
Neuronal hyperexcitability associated with a decrease/absence of the extracellular protein LGI1 has been suggested to be primarily due to the downregulation of Kv1 channel expression. The molecular mechanisms underlying this decrease have not yet been elucidated.
Kévin Debreux   +7 more
wiley   +1 more source

A New Hybrid Conjugate Gradient Method with Guaranteed Descent for Unconstraint Optimization

open access: yesAl-Mustansiriyah Journal of Science, 2018
The conjugate gradient method an efficient technique for solving the unconstrained optimization problem. In this paper, we propose a new hybrid nonlinear conjugate gradient methods, which have the descent at every iteration and globally convergence ...
Basim A. Hassan
doaj   +1 more source

Estimating the unemployment rate using least square and conjugate gradient methods

open access: yes, 2018
Unemployment rate is one of the major issues among Malaysian citizens. The unemployment rate indicates the percentage of the total workforce who are actively seeking employment and currently unemployed.
Nur Hamizah Abdul Ghani   +6 more
core  

New conjugate gradient method for unconstrained optimization [PDF]

open access: yes, 2016
In this paper, a new conjugate gradient method is proposed for large-scale unconstrained optimization. This method includes the already existing three practical nonlinear conjugate gradient methods, which produces a descent search ...
Chaib, Yacine   +3 more
core   +1 more source

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