This paper is concerned with a conjugate gradient method that utilizes a successive set of preconditioner matrices. The method is developed for the solution of min{f (x): x β R n }, where f is a nonlinear function that is sufficiently smooth to possess a Hessian matrix that is continuous. The theory
β¦ LIBER β¦
A preconditioned conjugate gradient method for multiplicative half-quadratic image restoration
β Scribed by Huang, Yu-Mei; Lu, De-Yong
- Book ID
- 123112427
- Publisher
- Elsevier Science
- Year
- 2013
- Tongue
- English
- Weight
- 754 KB
- Volume
- 219
- Category
- Article
- ISSN
- 0096-3003
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## Abstract This paper is concerned with the numerical solution of a symmetric indefinite system which is a generalization of the KarushβKuhnβTucker system. Following the recent approach of LukΕ‘an and VlΔek, we propose to solve this system by a preconditioned conjugate gradient (PCG) algorithm and
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