Parallel one-sided Householder transformations for eigenvalues computation

One-sided Householder transformations for reducing a matrix (symmetric or unsymmetric) to the appropriate canonical form are proposed and their advantages over the classical two-sided methods are investigated for a parallel computer with distributed memory.<
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