Results 51 to 60 of about 65,656 (305)
Preconditioned conjugate gradient method and generalized successive overrelaxation method for the least squares problems [PDF]
, 2002 In a recent paper [4], Li et al. gave a generalized successive overrelaxation (GSOR) method for the least squares problems. In this paper, the connection between the GSOR method and the preconditioned conjugate gradient (PCG) method for the normal ...
Li ZJ(李长军), Evans, DJ
core
An imperfect conjugate gradient algorithm [PDF]
, 1982 summary:A new biorthogonalization algorithm is defined which does not depend on the step-size used. The algorithm is suggested so as to minimize the total error after $n$ steps if imperfect steps are used.
Sloboda, Fridrich
core +1 more source
An isoform of 14‐3‐3 protein regulates transbilayer lipid movement at the plasma membrane
FEBS Letters, EarlyView.Loss of 14‐3‐3ζ in CHO cells confers resistance to exogenous phosphatidylserine (PS) and impairs endocytosis‐independent inward flip‐flop of fluorescent PS at the plasma membrane. RNAi‐mediated knockdown reproduces this defect, while no additive effect is seen in ATP11C‐deficient cells.
Akiko Yamaji‐Hasegawa +3 more
wiley +1 more source
New hybrid conjugate gradient method for nonlinear optimization with application to image restoration problems [PDF]
summary:The conjugate gradient method is one of the most effective algorithm for unconstrained nonlinear optimization problems. This is due to the fact that it does not need a lot of storage memory and its simple structure properties, which motivate us ...
Benterki, Djamel +2 more
core +1 more source
Enhancing Conjugate Gradient Method Through a Novel Investigation Parameter For Unconstrained Minimization [PDF]
مجلة التربية والعلمConjugate gradient algorithms come in a wide range of flavors. The conjugate gradient technique primarily concentrates on the spectral parameter. It follows the standard method proposed by Hastens and Stiefel, In this study, we have devised an innovative
Abd Hassan, Hamsa Saeed
doaj +1 more source
Algorithms, 2021 The conjugate gradient method is one of the most popular methods to solve large-scale unconstrained optimization problems since it does not require the second derivative, such as Newton’s method or approximations.
Zabidin Salleh +3 more
doaj +1 more source
FEBS Letters, EarlyView.This study reveals that the small GTPase Rab14 is necessary for human papillomavirus (HPV) infection and plays an essential role in the transport of virions to the trans‐Golgi network (TGN). HPV in the early endosome (EE), which harbors GTP‐bound Rab14, is transported to the TGN through the switch of Rab14 from its GTP‐bound to GDP‐bound form.
Yoshiyuki Ishii, Iwao Kukimoto
wiley +1 more source
A Mixed Spectral CD-DY Conjugate Gradient Method
Journal of Applied Mathematics, 2012 A mixed spectral CD-DY conjugate descent method for solving unconstrained optimization problems is proposed, which combines the advantages of the spectral conjugate gradient method, the CD method, and the DY method.
Liu Jinkui, Du Xianglin, Wang Kairong
doaj +1 more source
Symmetric Perry conjugate gradient method [PDF]
Computational Optimization and Applications, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dongyi Liu, Genqi Xu
openaire +1 more source
Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations
FEBS Letters, EarlyView.The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas +6 more
wiley +1 more source