A linear system solver based on a modified Krylov subspace method for breakdown recovery
β Scribed by Charles H. Tong; Qiang Ye
- Publisher
- Springer US
- Year
- 1996
- Tongue
- English
- Weight
- 957 KB
- Volume
- 12
- Category
- Article
- ISSN
- 1017-1398
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π SIMILAR VOLUMES
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
## a b s t r a c t During the past few decades, computerized tomography (CT) was widely used for non-destructive testing (NDT) and non-destructive examination (NDE) in the industrial area because of its characteristics of noninvasiveness and visibility. Recently, CT technology has been applied to
This paper describes a new method of state estimation for a stochastic sound system when the observation system is non-linear and quantized. The method is based on a generalized statistical linearization technique, with use of the two-sided Laplace transform. The non-linear quantized observation sys