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Structured matrices and tensors

✍ Scribed by Ng Michael; Raymond Chan; Xiaojun Chen; Liqun Qi; Franklin Luk; Michael Ng; Eugene Tyrtyshnikov

Publisher
John Wiley and Sons
Year
2011
Tongue
English
Weight
29 KB
Volume
19
Category
Article
ISSN
1070-5325

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πŸ“œ SIMILAR VOLUMES

Structured matrices with applications
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✍ Raymond Chan; Wai-Ki Ching; Franklin Luk; Michael NG πŸ“‚ Article πŸ“… 2005 πŸ› John Wiley and Sons 🌐 English βš– 23 KB
Diffraction Problems and Inversion of In
Diffraction Problems and Inversion of Infinite Structured Matrices
✍ A.L. Sakhnovich πŸ“‚ Article πŸ“… 2000 πŸ› Elsevier Science 🌐 English βš– 125 KB

Many model diffraction problems, generated by the Helmholtz equation, can be reduced to solving the infinite systems of linear algebraic equations SX s F. It proves that often the operators S in these problems satisfy some operator identities of the form AS y SB s ⌸ ⌸ U , where A and B are diagonal

The structured total least-squares appro
The structured total least-squares approach for non-linearly structured matrices
✍ P. Lemmerling; S. Van Huffel; B. De Moor πŸ“‚ Article πŸ“… 2002 πŸ› John Wiley and Sons 🌐 English βš– 109 KB

## Abstract In this paper, an extension of the structured total least‐squares (STLS) approach for __non‐linearly structured__ matrices is presented in the so‐called β€˜Riemannian singular value decomposition’ (RiSVD) framework. It is shown that this type of STLS problem can be solved by solving a set