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Title: The HK singular value decomposition of rank deficient matrix triplets

Conference ·
DOI:https://doi.org/10.1007/BFb0038505· OSTI ID:6893783
 [1];  [2]
  1. Argonne National Lab., IL (USA)
  2. Cornell Univ., Ithaca, NY (USA). School of Electrical Engineering

In this paper we consider a simultaneous reduction of three matrices. The described method is extended from previous work to include rank deficient data. It is shown how, via an initial reduction, the problem becomes one of diagonalizing a product of three matrices. We compare three different algorithms for its computation and show why one is preferred over the others.

Research Organization:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Organization:
USDOD; DOE/ER
DOE Contract Number:
W-31109-ENG-38
OSTI ID:
6893783
Report Number(s):
CONF-8910401-1; ON: DE90010114; CNN: -DAAL03-86-K-0109
Resource Relation:
Journal Volume: 507; Conference: 1. Great Lakes computer science conference, Kalamazoo, MI (USA), 18-20 Oct 1989
Country of Publication:
United States
Language:
English

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