Summary
This paper describes a simultaneous iteration technique for computing a nested sequence of orthonormal bases for the dominant invariant subspaces of a non-Hermitian matrix. The method is particularly suited to large sparse eigenvalue problems, since it requires only that one be able to form the product of the matrix in question with a vector. A convergence theory for the method is developed and practical details are discussed.
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This work was supported in part by the Office of Naval Research under Contract No. N00014-67-A-0128-0018.
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Stewart, G.W. Simultaneous iteration for computing invariant subspaces of non-Hermitian matrices. Numer. Math. 25, 123–136 (1976). https://doi.org/10.1007/BF01462265
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DOI: https://doi.org/10.1007/BF01462265