Запис Детальніше

Smoothed Analysis for the Conjugate Gradient Algorithm

Vernadsky National Library of Ukraine

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Title Smoothed Analysis for the Conjugate Gradient Algorithm
 
Creator Menon, G.
Trogdon, T.
 
Description The purpose of this paper is to establish bounds on the rate of convergence of the conjugate gradient algorithm when the underlying matrix is a random positive definite perturbation of a deterministic positive definite matrix. We estimate all finite moments of a natural halting time when the random perturbation is drawn from the Laguerre unitary ensemble in a critical scaling regime explored in Deift et al. (2016). These estimates are used to analyze the expected iteration count in the framework of smoothed analysis, introduced by Spielman and Teng (2001). The rigorous results are compared with numerical calculations in several cases of interest.
 
Date 2019-02-18T14:45:41Z
2019-02-18T14:45:41Z
2016
 
Type Article
 
Identifier Smoothed Analysis for the Conjugate Gradient Algorithm / G. Menon, T. Trogdon // Symmetry, Integrability and Geometry: Methods and Applications. — 2016. — Т. 12. — Бібліогр.: 22 назв. — англ.
1815-0659
2010 Mathematics Subject Classification: 60B20; 65C50; 35Q15
DOI:10.3842/SIGMA.2016.109
http://dspace.nbuv.gov.ua/handle/123456789/148528
 
Language en
 
Relation Symmetry, Integrability and Geometry: Methods and Applications
 
Publisher Інститут математики НАН України