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Preconditioned conjugate gradient methods for the solution of indefinite least squares problems

✍ Scribed by Qiaohua Liu; Xianjuan Li

Publisher
Springer Milan
Year
2011
Tongue
English
Weight
439 KB
Volume
48
Category
Article
ISSN
0008-0624

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πŸ“œ SIMILAR VOLUMES

Indefinitely preconditioned conjugate gr
Indefinitely preconditioned conjugate gradient method for large sparse equality and inequality constrained quadratic problems
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## Abstract This paper is concerned with the numerical solution of a symmetric indefinite system which is a generalization of the Karush–Kuhn–Tucker system. Following the recent approach of LukΕ‘an and Vlček, we propose to solve this system by a preconditioned conjugate gradient (PCG) algorithm and

A Preconditioned Krylov Subspace Method
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In this paper we consider an underdetermined system of equations Lx Ο­ b so m Ο½ n. However, the methods given We present an iterative method of preconditioned Krylov type for the solution of large least squares problems. We prove that the in Section 3 can also be used for overdetermined systems. me