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