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Conjugate gradient method

Known as: Preconditioned conjugate gradient method, Polak-Ribier, Method of conjugate gradient 
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

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Adaptive beamformerAlternating direction implicit methodAutoencoderBDDC

Papers overview

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Highly Cited
2006
Highly Cited
2006
MR Image Reconstruction from Sparse Radial Samples Using Bregman Iteration
2 1 || ) ( || || ) ( || || || L k L BV v y f NFFT f f − − + Ψ + λ υ , where vk=y+ vk-1-NFFT(fk) with the convention v0=0, to… 
Highly Cited
1998
Highly Cited
1998
Iterative implementation of linear multiuser detection for dynamic asynchronous CDMA systems
Several linear multiuser detectors for code-division multiple access (CDMA) systems can be characterized as an inverse of some… 
Highly Cited
1998
Highly Cited
1998
WARP3D-Release 10.8: Dynamic Nonlinear Analysis of Solids using a Preconditioned Conjugate Gradient Software Architecture
U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Engineering. Contract No. N61533-92-K-0030 
Highly Cited
1997
Highly Cited
1997
Multiuser demodulation for DS-CDMA systems in fading channels
Multiuser demodulation algorithms for centralized receivers of asynchronous direct-sequence (DS) spread-spectrum code-division… 
1995
1995
Efficacy of modified backpropagation and optimisation methods on a real-world medical problem
Highly Cited
1994
Highly Cited
1994
A hybrid algorithm for finding the global minimum of error function of neural networks and its applications
Review
1992
Review
1992
PLS/neural networks
1988
1988
A refined diagnostic wind model
Highly Cited
1986
Highly Cited
1986
Adaptive spectral estimation by the conjugate gradient method
This paper proposes an alternative technique for adaptive spectral estimation. The new technique applies the method of conjugate… 
Highly Cited
1982
Highly Cited
1982
A discrete Newton algorithm for minimizing a function of many variables
A Newton-like method is presented for minimizing a function ofn variables. It uses only function and gradient values and is a… 
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