An accurate product SVD (singular value decomposition) algorithm
Conference
·
OSTI ID:6225942
- Cornell Univ., Ithaca, NY (USA). School of Electrical Engineering
- Argonne National Lab., IL (USA)
- Philips Research Lab., Louvain-la-Neuve (Belgium)
In this paper, we propose a new algorithm for computing a singular value decomposition of a product of three matrices. We show that our algorithm is numerically desirable in that all relevant residual elements will be numerically small. 12 refs., 1 tab.
- Research Organization:
- Argonne National Lab., IL (USA)
- Sponsoring Organization:
- USDOD; DOE/ER
- DOE Contract Number:
- W-31109-ENG-38
- OSTI ID:
- 6225942
- Report Number(s):
- CONF-9006295-1; ON: DE91004448; CNN: DAAL03-90-G-0092
- Resource Relation:
- Conference: 2. international workshop on SVD and signal processing, Providence, RI (USA), 25-27 Jun 1990
- Country of Publication:
- United States
- Language:
- English
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