Jacobi-like algorithms for eigenvalue decomposition
159. B. B. Zhou and R. P. Brent,
Jacobi-like algorithms for eigenvalue decomposition of a
real normal matrix using real arithmetic,
Australian Computer Science Communications 18, 1 (1996), 367-375.
Abstract
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.
Comments
This was superseded by [163].
See also [207].
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