Results 51 to 60 of about 230,316 (281)
Two new spectral conjugate gradient algorithms based on Hestenes–Stiefel
Journal of Algorithms & Computational Technology, 2017 The spectral conjugate gradient algorithm, which is a variant of conjugate gradient method, is one of the effective methods for solving unconstrained optimization problems.
Guofang Wang +4 more
doaj +1 more source
Numerical: Jurnal Matematika dan Pendidikan Matematika, 2020 This paper develops a Neural network (NN) using conjugate gradient (CG). The modification of this method is in defining the direction of linear search.
Azwar Riza Habibi +2 more
doaj +1 more source
Stability Analysis Of Continuous Conjugate Gradient Method [PDF]
, 2008 Kaedah Conjugate Gradient adalah sangat berguna untuk: menyelesaikan masalah tiada kekangan paling optimum yang berskala besar. Walaubagaimanapun, carlan garis (line search) dalam Kaedah Conjugate Gradient kadang-kadang sukar didapati dan pengiraannya
Harun, Nurzalina
core
Chronological Inversion Method for the Dirac Matrix in Hybrid Monte Carlo
, 1996 In Hybrid Monte Carlo simulations for full QCD, the gauge fields evolve smoothly as a function of Molecular Dynamics time. Here we investigate improved methods of estimating the trial or starting solutions for the Dirac matrix inversion as superpositions
A.R. Levi +27 more
core +1 more source
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Chebyshev semi-iteration in Preconditioning [PDF]
, 2008 It is widely believed that Krylov subspace iterative methods are better than Chebyshev semi-iterative methods. When the solution of a linear system with a symmetric and positive definite coefficient matrix is required then the Conjugate Gradient method ...
Rees, Tyrone, Wathen, A. J.
core
Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation
FEBS Letters, EarlyView.Sorbitol‐induced hyperosmotic stress rapidly induces reversible mono(ADP‐ribosyl)ation (MARylation) on PARP1 without the signs of genotoxic signaling. We show that PARP1 autoMARylation is HPF1 dependent and forms hydroxylamine‐resistant O‐glycosidic linkages.
Anna Georgina Kopasz +11 more
wiley +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
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
Efficiency of different matrix inversion methods applied to Wilson fermions
, 1996 We compare different conjugate gradient -- like matrix inversion methods (CG, BiCGstab1 and BiCGstab2) employing for this purpose the compact lattice quantum electrodynamics (QED) with Wilson fermions.
Cella, G. +4 more
core +1 more source