Results 141 to 150 of about 888,833 (294)

Metode Conjugate Gradient dengan Pendekatan Quasi Newton

open access: yes, 2011
Conjugate gradient Method is an iteration technique in solving about the li nier equation using the positive definite symmetric coefficient matrix. Line track ing is an important part of optimization to determine the direction of p.
Mizan
core  

Low-complexity signal detection algorithm based on preconditioned conjugate gradient method

open access: yesDianxin kexue, 2016
For large-scale multiple-input multiple-output system,minimum mean square error signal detection algorithm is near-optimal but involves matrix inversion,and complexity is growing exponentially.
Hua QU   +3 more
doaj   +2 more sources

A Sparse Conjugate Gradient Adaptive Filter. [PDF]

open access: yesIEEE Signal Process Lett, 2020
Lee CH, Rao BD, Garudadri H.
europepmc   +1 more source

Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive motor neuron degeneration. Fused in sarcoma (FUS)‐associated juvenile ALS (jALS) represents a distinct and aggressive subgroup with rapid deterioration and poor prognosis.
Alexandra V. Jürs   +7 more
wiley   +1 more source

Towards Stochastic Conjugate Gradient Methods

open access: yes, 2002
The method of conjugate gradients provides a very effective way to optimize large, deterministic systems by gradient descent. In its standard form, however, it is not amenable to stochastic approximation of the gradient.
Thore Graepel, Nicol N. Schraudolph
core  

TWO MODIFIED CONJUGATE GRADIENT METHODS AND THEIR APPLICATION TO IMAGE RESTORATION PROBLEMS

open access: yesUral Mathematical Journal
Conjugate gradient methods have significantly contributed to the discovery of minimizes of large-scale unconstrained optimization problems. In this paper, based on the Liu--Storey conjugate gradient method, two modified conjugate gradient methods (named ...
Abd Elhamid Mehamdia   +3 more
doaj   +1 more source

Thalamo‐Lesional Connectivity Signatures of Bilateral Tonic–Clonic Seizures in Focal Cortical Dysplasia‐Related Epilepsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie   +8 more
wiley   +1 more source

Preconditioned conjugate gradient method and generalized successive overrelaxation method for the least squares problems

open access: yes, 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  

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

SUBGRADIENT MINIMIZATION METHOD WITH DESCENT VECTORS CORRECTION BY MEANS OF TRAINING RELATIONS PAIRS

open access: yesВестник Кемеровского государственного университета, 2014
The paper introduces a conjugate subgradient method whose descent is corrected by a pair of current training relations. The convergence of the method is proved on strictly convex functions.
V. N. Krutikov, Ya. N. Vershinin
doaj  

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