A parallel algorithm for computing the singular value decomposition of a matrix
Technical Report
·
OSTI ID:5470126
A parallel algorithm for computing the singular value decomposition will be presented. The basic step of the algorithm is a divide and conquer step based upon a rank one modification of a bidiagonal matrix. Numerical difficulties associated with forming the product of a matrix with its transpose are avoided and numerically stable formuale for obtaining left singular vectors after computing updated right singular vectors are derived. A deflation technique is described which together with a robust root finding method will assure computation of the singular values to full accuracy in the residuals and will also assure the orthogonality of the singular vectors. 16 refs., 2 figs.
- Research Organization:
- Argonne National Lab., IL (USA)
- DOE Contract Number:
- W-31109-ENG-38
- OSTI ID:
- 5470126
- Report Number(s):
- ANL/MCS-TM-102; ON: DE88007059
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
99 GENERAL AND MISCELLANEOUS
990220 -- Computers
Computerized Models
& Computer Programs-- (1987-1989)
990230* -- Mathematics & Mathematical Models-- (1987-1989)
ALGORITHMS
CHEMICAL REACTIONS
DECOMPOSITION
EIGENVALUES
MATHEMATICAL LOGIC
MATRICES
PARALLEL PROCESSING
PROGRAMMING
SINGULARITY
TENSORS
VECTORS
990220 -- Computers
Computerized Models
& Computer Programs-- (1987-1989)
990230* -- Mathematics & Mathematical Models-- (1987-1989)
ALGORITHMS
CHEMICAL REACTIONS
DECOMPOSITION
EIGENVALUES
MATHEMATICAL LOGIC
MATRICES
PARALLEL PROCESSING
PROGRAMMING
SINGULARITY
TENSORS
VECTORS