Results 241 to 250 of about 265,361 (282)

Linear Conjugate Gradient Algorithm

2020
The linear conjugate gradient algorithm is dedicated to minimizing convex quadratic functions (or solving linear algebraic systems of equations with positive definite matrices). This algorithm was introduced by Hestenes and Stiefel (1952).
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Conjugate gradients

2023
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The Conjugate Gradient Method

2020
The conjugate gradient method was published by Hestenes and Stiefel in 1952, as a direct method for solving linear systems. Today its main use is as an iterative method for solving large sparse linear systems. On a test problem we show that it performs as well as the SOR method with optimal acceleration parameter, and we do not have to estimate any ...
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Conjugate Gradient

2003
J. Frédéric Bonnans, J. Charles Gilbert, Claude Lemaréchal, Claudia A. Sagastizábal   +3 more
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Conjugate gradients

1996
Michal Křížek, Pekka Neittaanmäki
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Two families of self-adjusting spectral hybrid DL conjugate gradient methods and applications in image denoising

Applied Mathematical Modelling, 2023
Hu Shao, Pengjie Liu
exaly  

Riemannian Conjugate Gradient Methods: General Framework and Specific Algorithms with Convergence Analyses

SIAM Journal on Optimization, 2022
Hiroyuki Sato
exaly  

Hodgkin lymphoma: A review and update on recent progress

Ca-A Cancer Journal for Clinicians, 2018
Satish P Shanbhag, Richard F Ambinder
exaly  

Conjugate gradients

2008
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Conjugate Gradients

2011
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