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Conjugate gradient method
Known as:
Preconditioned conjugate gradient method
, Polak-Ribier
, Method of conjugate gradient
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In mathematics, the conjugate gradient method is an algorithm for the numerical solution of particular systems of linear equations, namely those…
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Related topics
Related topics
50 relations
Adaptive beamformer
Alternating direction implicit method
Autoencoder
BDDC
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Minerva: A Scalable and Highly Efficient Training Platform for Deep Learning
Min-Jie Wang
,
Tianjun Xiao
,
Jianpeng Li
,
Jiaxing Zhang
,
Chuntao Hong
,
Zheng Zhang
2014
Corpus ID: 13970571
The tooling landscape of deep learning is fragmented by a growing gap between the generic and productivity-oriented tools that…
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2009
2009
Seismic imaging of complex onshore structures by two-dimensional elastic frequency-domain full-waveform inversion
R. Brossier
,
S. Operto
,
J. Virieux
2009
Corpus ID: 174779996
Elastic frequency-domain full-waveform inversion is here applied to a realistic synthetic offshore model to study the behavior of…
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2009
2009
A Modified Conjugate Gradient Formula for Back Propagation Neural Network Algorithm
A. Al-Bayati
,
Najmaddin A. Sulaiman
,
Gulnar W. Sadiq
2009
Corpus ID: 1524794
Problem statement: The Conjugate Gradient (CG) algorithm which usually used for solving nonlinear functions is presented and is…
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2007
2007
An adaptive spectral least-squares scheme for the Burgers equation
W. Heinrichs
Numerical Algorithms
2007
Corpus ID: 14764419
A least-squares spectral collocation method for the one-dimensional inviscid Burgers equation is proposed. This model problem…
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2005
2005
On the convergence rate of the conjugate gradients in presence of rounding errors *
Y. Notay
2005
Corpus ID: 16729015
among which Axelsson [2], Andersson [1], Jennings [8] and Axelsson and Lindskog [4], where explicit bounds on the number of…
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Review
1998
Review
1998
CORNELIUS LANCZOS COLLECTED PUBLISHED PAPERS WITH COMMENTARIES
C. Lanczos
,
W. Davis
1998
Corpus ID: 14815190
In recent years, the fast Fourier transform, or FFT, has had a major impact on most scientific fields. In this note, severa…
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1998
1998
A Fast, Robust Algorithm for Total Variation Based Reconstruction of Noisy, Blurred Images
C. Vogel
,
M. Oman
1998
Corpus ID: 18516948
| Tikhonov regularization with a modiied total variation regularization functional is used to recover an image from noisy…
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1995
1995
Preconditioning conjugate gradient method for nonsymmetric systems
C. Popa
International Journal of Computational…
1995
Corpus ID: 123533753
It is well known that the preconditioned conjugate gradient algorithms (PCG) work very well (for both symmetric and nonsymmetric…
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1986
1986
Optic flow estimation inside a bounded domain
A. Rougée
,
B. Levy
,
A. Willsky
1986
Corpus ID: 12266990
The problem of reconstructing the apparent velocity field (optic flow) in a sequence of images is formulated as a linear…
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1983
1983
An M-Step preconditioned Conjugate Gradient Method for Parallel Computation
L. Adams
International Conference on Parallel Processing
1983
Corpus ID: 14695296
This paper describes a preconditioned conjugate gradient method that can be effectively implemented on both vector machines and…
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