Consider the linear system Ax = b, where A β C NΓN is a singular matrix. In the present work we propose a general framework within which Krylov subspace methods for Drazininverse solution of this system can be derived in a convenient way. The Krylov subspace methods known to us to date treat only th
On the relation of the Drazin inverse and matrix pencil theory methods for the study of generalized linear systems
β Scribed by Grigoris I. Kalogeropoulos; Athanasios D. Karageorgos; Athanasios A. Pantelous
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 131 KB
- Volume
- 427
- Category
- Article
- ISSN
- 0024-3795
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## Abstract General stationary iterative methods with a singular matrix __M__ for solving rangeβHermitian singular linear systems are presented, some convergence conditions and the representation of the solution are also given. It can be verified that the general OrtegaβPlemmons theorem and Keller
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This paper consists of two parts. In the first, more theoretic part, two Wiener systems driven by the same Gaussian noise excitation are considered. For each of these systems, the best linear approximation (BLA) of the output (in mean square sense) is calculated, and the residuals, defined as the di