Singular value decomposition (SVD) is used in many applications such as real-time signal processing where fast computation of these problems is needed. In this paper, parallel algorithms for solving the singular value decomposition problem are discussed. The algorithms are designed for optically int
โฆ LIBER โฆ
Triangular processor array for computing singular values
โ Scribed by Franklin T. Luk
- Book ID
- 107825104
- Publisher
- Elsevier Science
- Year
- 1986
- Tongue
- English
- Weight
- 644 KB
- Volume
- 77
- Category
- Article
- ISSN
- 0024-3795
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DLASQ is a routine in LAPACK for computing the singular values of a real upper bidiagonal matrix with high accuracy. The basic algorithm, the so-called dqds algorithm, was first presented by Fernando-Parlett, and implemented as the DLASQ routine by Parlett-Marques. DLASQ is now recognized as one of
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