A hybrid least squares QR-lattice algorithm using a priori errors
โ Scribed by Miranda, M.D.; Gerken, M.
- Book ID
- 119790722
- Publisher
- IEEE
- Year
- 1997
- Tongue
- English
- Weight
- 554 KB
- Volume
- 45
- Category
- Article
- ISSN
- 1053-587X
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
A sparse QR-factorization algorithm SPARQR for coarse-grained parallel computations is described. The coefficient matrix, which is assumed to be general sparse, is reordered in an attempt to bring as many zero elements in the lower left corner as possible. The reordered matrix is then partitioned in
Within the context of recursive least-squares, the implementation of a Householder algorithm for block updating the QR decomposition, on massively parallel SIMD systems, is considered. Initially, two implementations based on dierent mapping strategies for distributing the data matrices over the proc