A parallel three-stage algorithm for reduction of a regular matrix pair (A,B) to generalized Schur from (S, T) is presented. The first two stages transform (A,B) to upper Hessenberg-triangular form (H, T) using orthogonal equivalence transformations. The third stage iteratively reduces the matrix in (H, T) form to generalized Schur form. Algorithm and implementation issues regarding the single-/double-shift QZ algorithm are discussed. We also describe multishift strategies to enhance the performance in blocked as well as in parallell variants of the QZ method.
CITATION STYLE
Adlerborn, B., Dackland, K., & Kågström, B. (2002). Parallel and blocked algorithms for reduction of a regular matrix pair to hessenberg-triangular and generalized schur forms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2367, pp. 319–328). Springer Verlag. https://doi.org/10.1007/3-540-48051-x_32
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