Abstract
After a short introduction to Jacobi-like algorithms a review is given of a vector and a parallel implementation of the Jacobi method for symmetric matrices. In the last section a modification of Sameh’s parallel eigen-algorithm is presented based on a problem formulation with so-called Euclidean parameters of non-orthogonal shears.
This research is part of the VF-program “Parallele Algoritmiek”, THD-WI-08/85-25 which has been approved by the Netherlands Ministry of Education and Sciences.
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© 1989 Plenum Press, New York
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Paardekooper, M.H.C. (1989). Jacobi-Type Algorithms for Eigenvalues on Vector and Parallel Computers. In: Devreese, J.T., Van Camp, P.E. (eds) Scientific Computing on Supercomputers. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0819-5_11
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DOI: https://doi.org/10.1007/978-1-4613-0819-5_11
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