Abstract

Several strategies for pivot selection in Givens reduction to upper triangular form and for row ordering within major steps of the reduction are compared on the grounds of how well they preserve sparsity. Recommendations are made based principally on the results of runs on test problems. The use of Givens similarity transformations in reducing a sparse matrix to Hessenberg form is similarly examined and finally some conclusions are drawn as to the advisability of using Givens reduction methods on sparse systems.

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