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Jacobi-like algorithms for eigenvalue decomposition of a real normal matrix using real arithmetic

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2 Author(s)
Zhou, B.B. ; Comput. Sci. Lab., Australian Nat. Univ., Canberra, ACT, Australia ; Brent, R.P.

In this paper, we introduce a method for designing efficient Jacobi-like algorithms for eigenvalue decomposition of a real normal matrix. The algorithms use only real arithmetic and achieve ultimate quadratic convergence. A theoretical analysis is conducted and some experimental results are presented

Published in:
Parallel Processing Symposium, 1996., Proceedings of IPPS '96, The 10th International

Date of Conference: 15-19 Apr 1996

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