Results 51 to 60 of about 84,313 (308)

Using MATLAB For Steepest Descent Algorithm (SD) with Conjugate Gradient Algorithm (CG) For Minimizing Unconstrained problems

open access: yesAcademic Science Journal
This paper considers the steepest descent algorithm (SD) and the conjugate gradient algorithm (CG) with a new parameter  to minimize nonlinear unconstrained problems. We improve a new parameter  for the conjugate gradient algorithm (CG).
Huda Habeeb   +1 more
doaj   +1 more source

A new family of conjugate gradient methods [PDF]

open access: yes, 2009
In this paper we develop a new class of conjugate gradient methods for unconstrained optimization problems. A new nonmonotone line search technique is proposed to guarantee the global convergence of these conjugate gradient methods under some mild ...
Shi, Zhen-Jun, Guo, Jinhua
core   +1 more source

Diversity and complexity in neural organoids

open access: yesFEBS 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

An Accelerated Riemannian Conjugate Gradient Method Based on the Barzilai–Borwein Technique

open access: yesMathematics
This paper proposes an accelerated Riemannian conjugate gradient method based on the Barzilai-Borwein (BB) technique, termed ABBSRCG, for unconstrained optimization on Riemannian manifolds. Building upon classical Riemannian conjugate gradient frameworks,
Ziyin Ma, Tao Yan, Shimin Zhao
doaj   +1 more source

A Deflated Version of the Conjugate Gradient Algorithm [PDF]

open access: yesSIAM Journal on Scientific Computing, 2000
A deflated version of the conjugate gradient algorithm is presented for solving linear systems. The algorithm is useful when a small number of eigenvalues of the iteration matrix are very close to the origin and in cases when multiple right-hand sides are present.
Saad, Y.   +3 more
openaire   +2 more sources

Gradient pursuits [PDF]

open access: yes, 2008
Sparse signal approximations have become a fundamental tool in signal processing with wide ranging applications from source separation to signal acquisition.
Blumensath, T.   +2 more
core   +1 more source

Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation

open access: yesFEBS 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

Estimating the unemployment rate using least square and conjugate gradient methods [PDF]

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  

An isoform of 14‐3‐3 protein regulates transbilayer lipid movement at the plasma membrane

open access: yesFEBS 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

Differentiating through conjugate gradient [PDF]

open access: yesOptimization Methods and Software, 2018
We show that, although the conjugate gradient (CG) algorithm has a singularity at the solution, it is possible to differentiate forward through the algorithm automatically by re-declaring all the v...
openaire   +1 more source

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